US20080077458A1 - Collecting and representing home attributes - Google Patents

Collecting and representing home attributes Download PDF

Info

Publication number
US20080077458A1
US20080077458A1 US11/524,047 US52404706A US2008077458A1 US 20080077458 A1 US20080077458 A1 US 20080077458A1 US 52404706 A US52404706 A US 52404706A US 2008077458 A1 US2008077458 A1 US 2008077458A1
Authority
US
United States
Prior art keywords
home
attribute
value
distinguished
user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US11/524,047
Inventor
Timothy J. Andersen
Fred F. Sadaghiani
Stephen M. McNamee
Marcin Szuster
Chloe L. Harford
Jeffrey T. Brinker
Randy W. Puttick
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zillow LLC
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to US11/524,047 priority Critical patent/US20080077458A1/en
Assigned to ZILLOW, INC. reassignment ZILLOW, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ANDERSEN, TIMOTHY J., PUTTICK, RANDY W., SADAGHIANI, FRED F., BRINKER, JEFFREY T., HARFORD, CHLOE L., MCNAMEE, STEPHEN M., SZUSTER, MARCIN
Priority to CNA2007103061948A priority patent/CN101246485A/en
Priority to AU2007216858A priority patent/AU2007216858B2/en
Priority to EP07018380A priority patent/EP1903491A1/en
Publication of US20080077458A1 publication Critical patent/US20080077458A1/en
Assigned to SILICON VALLEY BANK reassignment SILICON VALLEY BANK SECURITY AGREEMENT Assignors: ZILLOW, INC.
Priority to US15/789,617 priority patent/US11315202B2/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/16Real estate
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities

Definitions

  • the described technology is directed to the fields of information gathering and representation.
  • Typical examples of such “home facts” include lot size, number of bedrooms, number of bathrooms, total floor space, view type, and roof type.
  • information about at least some home facts of a particular home is compiled by a governmental agency, such as the assessor's office for the county in which the home is located. Such information may be available directly from the governmental agency, and/or an intermediary information provider.
  • FIG. 1 is a high-level data flow diagram showing data flow within a typical arrangement of components used to provide the facility.
  • FIG. 2 is a block diagram showing some of the components typically incorporated in at least some of the computer systems and other devices on which the facility executes.
  • FIG. 3 is a display diagram showing a sample display typically presented by the facility before the owner for a particular home has inputted home facts—i.e., attribute values—for a particular home.
  • FIGS. 4A-4B contain a flow diagram showing steps typically performed by the facility in order to determine whether to identify a particular user as the owner of a particular home, and subsequently permit that user to provide attribute values for that home that are stored in the home facts database.
  • FIGS. 5 and 6 are display diagrams showing a sample display presented by the facility to ask a question of the user.
  • FIG. 7 is a display diagram showing a typical display presented by the facility when the user has been identified as the owner of the home.
  • FIG. 8 is a display diagram showing a typical display presented by the facility in order to obtain credit card information from the user.
  • FIG. 9 is a display diagram showing a display typically presented by the facility in connection with the manual resolution process.
  • FIG. 10 is a display diagram showing a typical display presented by the facility in order to determine whether the user purchased the home from the owner presently identified for the home.
  • FIG. 11 is a display diagram showing a sample display presented by the facility that permits a user who is currently identified as the owner of the home to relinquish confirmed ownership of the home.
  • FIG. 12 is a display diagram showing an initial version of a display usable by a user identified as the owner of the home to provide attribute values for the home.
  • FIG. 13 is a display diagram showing the second version of the display shown in FIG. 12 .
  • FIG. 14 is a display diagram showing a sample display presented by the facility in response to receiving home facts from the user identified as the owner of the home.
  • FIG. 15 is a display diagram showing a sample display presented by the facility containing a valuation of the home generated at least in part based upon the attribute values provided by the owner.
  • FIG. 16 is a table diagram showing sample contents of the property attribute value table.
  • FIG. 17 is a table diagram showing sample contents of the property table in the first state of the home facts database.
  • FIG. 18 is a table diagram showing sample contents of the property attribute type table in the first state of the home facts database.
  • FIG. 19 is a table diagram showing sample contents of the data source type table in the first state of the home facts database.
  • FIG. 20 is a table diagram showing sample contents of the attribute value enum table in the first state of the home facts database.
  • FIG. 21 is a table diagram showing sample contents of the attribute usage table in a first state of the home facts database.
  • FIG. 22 is a table diagram showing sample contents of the property attribute type table in the second state of the home facts database.
  • FIG. 23 is a table diagram showing several contents of the property attribute value table in the second state of the home facts database.
  • FIG. 24 is a table diagram showing sample contents of the data source type table in the third state of the home facts database.
  • FIG. 25 is a table diagram showing sample contents of the property attribute value table 2500 in the third state of the home facts database.
  • a software facility for managing information about home facts (“the facility”) is described.
  • the facility takes advantage of an extensible storage architecture for home facts information, which can be easily expanded to accommodate new home facts or updated ranges of values for existing home facts.
  • the storage architecture simultaneously stores home facts information from multiple sources about the same home, such as home facts information from a government agency, home facts obtained from a user identified as the owner of the home, and home facts obtained from a user identified as having some other role with respect to the home, such as a former owner, an appraiser charged with appraising the house, or a listing agent who is undertaking to sell the house.
  • the facility provides a user interface that the owner of a home or another user knowledgeable about the home can use to correct information provided for the home by another source; confirm information provided for the home by another source; or provide information about the home not available from another source.
  • the home facts information provided using the user interface can include various types of data, such as numerical values, text, items selected from enumerated lists, photos or videos of the home, documents relating to the home such as appraisals or inspection reports, etc.
  • the facility displays together home facts information about a particular home from multiple sources, or otherwise uses home facts information about a particular home from multiple sources.
  • the facility employs logic for combining home facts information from multiple sources to obtain composite home facts information for a home whose completeness and/or accuracy may exceed those of home facts information from a government agency. As useful home facts information for a home becomes available from additional sources, the quality of the composite home facts obtained for the home using the combination logic may continue to increase.
  • the facility employs one or more approaches to identifying the current owner of a home, so as to limit the ability of non-owners to inaccurately identify themselves as owners and submit unreliable home facts.
  • FIG. 1 is a high-level data flow diagram showing data flow within a typical arrangement of components used to provide the facility.
  • FIG. 1 shows a home facts database 101 in which the facility stores home facts information obtained from multiple sources, which is hosted by one or more database servers 100 .
  • the home facts database contains home facts information 112 exploited from public information sources such as title recording offices, property tax assessment or collection agencies, or intermediaries providing access to such data, via the Internet 130 and a data importation server 140 .
  • the home facts database contains home facts 122 inputted by users identified as owners of the subject homes via the Internet and a web server 150 . All of the contents of the home facts database are potentially available for inclusion in web pages 162 generated by the facility containing information about particular houses or groups of houses and served to visitors 161 .
  • FIG. 2 is a block diagram showing some of the components typically incorporated in at least some of the computer systems and other devices on which the facility executes.
  • These computer systems and devices 200 may include one or more central processing units (“CPUs”) 201 for executing computer programs; a computer memory 202 for storing programs and data while they are being used; a persistent storage device 203 , such as a hard drive for persistently storing programs and data; a computer-readable media drive 204 , such as a CD-ROM drive, for reading programs and data stored on a computer-readable medium; and a network connection 205 for connecting the computer system to other computer systems, such as via the Internet.
  • CPUs central processing units
  • a computer memory 202 for storing programs and data while they are being used
  • a persistent storage device 203 such as a hard drive for persistently storing programs and data
  • a computer-readable media drive 204 such as a CD-ROM drive, for reading programs and data stored on a computer-readable medium
  • a network connection 205 for connecting
  • identified owners and/or visitors may use a variety of devices in order to input home facts or view home facts provided form the home facts database.
  • These users may use desktop computers, laptop computers, wireless email devices, wireless phones, set top boxes, automobile computers, or other devices having a web browser to interact with web pages with respect to such information. Additionally, these users may use these or other types of devices to communicate directly or indirectly with the server in a variety of other modes, including via email, text message, voice message, live voice call, etc.
  • FIG. 3 is a display diagram showing a sample display typically presented by the facility before the owner for a particular home has inputted home facts—i.e., attribute values—for a particular home.
  • the display 300 indicates attribute values 310 obtained from a source other than the owner, such as attribute values obtained from government sources.
  • the display further shows a valuation 330 determined in accordance with these attribute values, and a control 340 that the user may activate to display all such attribute values.
  • the display further includes an indication that attribute values have not yet been received for this home by the home's owner, and a control 349 that the user may activate in order to provide attribute values for the home.
  • FIG. 3 in each of the display diagrams discussed below show particular display contents and organization, generally formatted as a web page or a portion of a web page, those skilled in the art will appreciate that actual displays used by the facility to present information may differ from those shown, in that they, for example, may contain different information, information that is portrayed differently, a different organization, a different format, etc.
  • FIGS. 4A-4B contain a flow diagram showing steps typically performed by the facility in order to determine whether to identify a particular user as the owner of a particular home, and subsequently permit that user to provide attribute values for that home that are stored in the home facts database.
  • step 401 if an owner is presently identified for this home, then the facility continues in step 402 , else the facility continues in step 404 .
  • step 402 if the identified owner is the current user, then the facility continues in step 403 , else the facility continues through connector A at step 421 , shown in FIG. 4B .
  • the facility permits the current user to provide and/or edit home facts as is discussed further below in connection with FIGS. 12-15 . After step 403 , these steps conclude.
  • step 404 if each of the following three conditions is true, then the facility continues in step 405 , else the facility continues in step 410 : the user is identified as the owner of fewer than X homes, such as one home; the facility possesses enough information to ask a question whose answer would be known to the owner of the home; and the IP address of the user's computer is not presently blacklisted.
  • step 405 the facility asks a question of the user whose answer would be known to the owner of the home.
  • FIGS. 5 and 6 are display diagrams showing a sample display presented by the facility to ask a question of the user.
  • Display 500 includes a control 510 usable by the user to answer the posed question, here the name of the home's legal owner. This control is shown expanded in FIG. 6 , with a list of names 611 - 616 that the user may select in response to the question, as well as alternative 620 indicating that the user's name is not among those displayed.
  • the name of the home's legal owner is randomly located within the order of names shown in the control, and/or randomly omitted from this list.
  • other types of questions whose answer is expected to be known by the home's owner are used in step 405 .
  • the user selects a checkbox 530 confirming that he or she is the owner of the home, and activates a continue control 540 .
  • step 406 if the answer provided by the user to the question posed in step 405 is correct, then the facility continues in step 407 , else the facility continues in step 408 .
  • step 407 the facility identifies the current user as the owner of the home, and permits this user to enter home facts as described below. After step 407 , these steps conclude.
  • FIG. 7 is a display diagram showing a typical display presented by the facility when the user has been identified as the owner of the home.
  • the display 700 includes an indication 701 that the user has been identified as the owner of the home, and a control 702 that the user may activate in order to edit home details for the home.
  • the facility immediately presents a display that enables the user to edit the home facts for the home, such as the display shown in FIG. 12 .
  • step 408 if the user has provided more than a number Y of incorrect answers to the questions posed in step 405 during a particular foregoing period of time, such as the current web browsing session, then the facility continues in step 409 , else the facility continues in step 405 to ask another question whose answer would be known to the owner of the home.
  • the facility blacklists the IP address of the user's computer for Z days, such as seven days, preventing this computer from being used to claim a home by answering questions posed in step 405 for this period of time.
  • step 411 the facility continues in step 411 .
  • step 410 if this user has provided credit card information within the last H hours—such as the last one hour—that has subsequently been successfully verified, then the facility continues in step 407 to identify the user as the owner of the home, else the facility continues in step 411 .
  • step 411 the facility obtains credit card information from the user.
  • FIG. 8 is a display diagram showing a typical display presented by the facility in order to obtain credit card information from the user.
  • the display 800 contains controls 801 - 810 that may be used by the user to provide credit card information.
  • the display further includes a checkbox 830 for the user to select in order to confirm that the user is the owner of the home.
  • the display further includes a continued control 840 that the user may activate in order to submit the entered credit card information.
  • step 412 if the user's account is blocked due to earlier credit card errors, then the facility continues in step 413 , else the facility continues in step 414 .
  • step 413 the user's efforts to be identified as the owner of the home fail, and these steps conclude without identifying the user as the owner of the home.
  • step 414 the credit card information obtained from the user in step 411 is verified, such as with the issuer of the credit card, a charge-clearing bureau associated with the credit card, or similar entity; if the credit card information is approved, then the facility continues in step 415 , else the facility continues in step 416 .
  • step 415 the facility identifies the user as the owner of the home and permits the user to enter home facts. After step 415 , these steps conclude.
  • step 416 if the user gives up on attempting to be identified as the owner of the home, then the facility continues in step 417 , else the facility continues in step 418 .
  • step 417 the user's efforts to be identified as the owner of the home fail, and these steps conclude without identifying the user as the owner of the home.
  • step 418 if the user has tried more than T times, such as two times, to be identified as the owner of the home based on credit card information, then the facility continues in step 419 , else the facility continues in step 411 to again obtain credit card information from the user.
  • T times such as two times
  • the facility initiates a manual resolution process for determining whether the user is the owner of the home.
  • the manual resolution process may require the user to provide documentary evidence that he or she is the owner of the home to the operator of the facility, such as via postal mail, email, or the uploading of an image of such documentary evidence.
  • Such documentary evidence may include copies or images of such documents as: a deed, a title, a mortgage statement, a property tax assessment, a property tax bill, a recent utility bill, or another document identifying both the home and the user and reflecting ownership of the home by the user.
  • FIG. 9 is a display diagram showing a display typically presented by the facility in connection with the manual resolution process. It contains information 900 about the manual resolution process, including a sample list of acceptable documents.
  • step 420 the facility identifies the ownership of the home in accordance with the result of the manual resolution process. In some embodiments, this involves identifying the user as the owner of the home if the user successfully completes the manual resolution process, and not identifying any owner for the home if the user does not successfully complete the manual resolution process. After step 420 , these steps conclude.
  • step 421 if the user purchased the home from the person currently identified as the owner of the home, then the facility continues in step 422 , else the facility continues in step 424 .
  • FIG. 10 is a display diagram showing a typical display presented by the facility in order to determine whether the user purchased the home from the owner presently identified for the home.
  • the display 1000 includes a control 1001 that the user may operate in order to indicate that they recently purchased the home, and begin an appropriate process for confirming their ownership of the home.
  • the display also includes a control 1002 that the user may activate to indicate that the user currently identified as the owner of the home maliciously and erroneously requested to be identified as the owner of the home, and a control 1003 that the user may activate in order to indicate that the user co-owns the home with the person presently identified as the owner of the home.
  • step 422 the facility verifies the user with credit card information in accordance with steps 411 , 412 , 414 , 416 , and 418 .
  • step 423 if the verification of step 422 succeeded, the facility identifies the user as the owner of the home and permits the user to enter home facts. After step 423 , these steps conclude.
  • step 424 the facility verifies the user with both a question—in accordance with steps 405 , 406 , and 408 —and with credit card information—in accordance with steps 411 , 412 , 414 , 416 , and 418 .
  • step 425 if both forms of verification performed in step 424 succeeded, then the facility continues in step 427 , else the facility continues in step 426 .
  • step 426 the user's efforts to be identified as the owner of the home fail, and these steps conclude without identifying the user as the owner of the home.
  • step 427 the facility identifies the user as the owner of the home and permits the user to enter home facts for the home.
  • the facility notifies the user formerly identified as the owner of the home.
  • step 429 if the user formerly identified as the owner of the home dissents from the identification of the current user as the owner of the home, then the facility continues in step 430 , else these steps conclude.
  • step 430 the facility initiates a manual resolution process to determine which of the two users should be identified as the owner of the home. In some embodiments, this process is similar to the one described above in connection with step 419 , selecting the user that is able to successfully provide documentary evidence that he or she currently owns the home.
  • step 431 the facility identifies the owner of the home in accordance with a manual resolution performed in step 430 . After step 431 , these steps conclude.
  • FIGS. 4A-4B may be altered in a variety of ways. For example, the order of the steps may be rearranged; substeps may be performed in parallel; shown steps may be omitted, or other steps may be included; etc.
  • the facility permits the user to initiate manual resolution in some or all of the circumstances in which FIGS. 4A-4B show the user's attempt to be identified as the owner of the home failing, such as in step 413 and/or step 426 .
  • FIG. 11 is a display diagram showing a sample display presented by the facility that permits a user who is currently identified as the owner of the home to relinquish confirmed ownership of the home.
  • Display 1100 includes a control 1101 that the user may operate in order to specify a reason for relinquishing ownership.
  • the display further includes a submit control 1102 that the user may activate in order to relinquish ownership of the home.
  • FIGS. 12-15 show a sample user interface typically presented by the facility that enables a user identified as the owner of a home to edit or update home facts associated with the home, i.e., provide attribute values for the home.
  • FIG. 12 is a display diagram showing an initial version of a display usable by a user identified as the owner of the home to provide attribute values for the home.
  • the initial version 1200 of the display contains controls 1201 - 1222 , each corresponding to a different home attribute and showing a value for that attribute currently in the possession of the facility, such as a value obtained from a source other than the owner, such as a value obtained from a government source.
  • control 1202 indicates that the facility currently possesses a value of 5 for the number of bedrooms attribute.
  • FIG. 13 is a display diagram showing the second version of the display shown in FIG. 12 .
  • This version of the display 1300 shows the display after the user has used some of the controls to provide new values of the associated attributes.
  • the user has used controls 1302 , 1303 , 1304 , 1305 , 1314 , and 1320 to provide new values of the associated attributes.
  • a user has used control 1302 to provide the value 6 for a number of bedrooms' attribute, for which the facility had earlier obtained the value of 5 from another source.
  • These attribute values provided by the owner are consistent with a small addition that added 530 square feet and two rooms, including one bedroom and an expansion of a half bathroom, as well as central air conditioning.
  • the user selects a checkbox 1330 again confirming that he or she is the owner of the home and promising that the home facts entered by the user are accurate, then activates a submit control 1341 to provide these attribute values.
  • the user can instead activate a cancel control 1341 in order not to provide any attribute values for the home.
  • FIG. 14 is a display diagram showing a sample display presented by the facility in response to receiving home facts from the user identified as the owner of the home.
  • the display 1400 is similar to display 300 shown in FIG. 4 , but contains the attribute values 1450 provided by the owner, including attribute values 1451 , 1452 , and 1454 , which differ from the attribute values provided for the same attributes by another source of attribute values, and are shown in bold to highlight this difference.
  • the user can select a control 1440 to display, for all of the home's attributes, the values provided by the owner and the other attribute value source.
  • the display also contains a control 1460 that the user may activate in order to generate a valuation for the home based upon the attribute values provided by the owner, or some combination of the attribute values provided by the owner and attribute values obtained from one or more other sources.
  • FIG. 15 is a display diagram showing a sample display presented by the facility containing a valuation of the home generated at least in part based upon the attribute values provided by the owner.
  • the display 1500 includes such a valuation 1560 .
  • the facility generates this valuation in accordance with one or more of U.S. patent application Ser. No. 11/347,000, filed on Feb. 3, 2006; U.S. patent application Ser. No. 11/347,024, filed on Feb. 3, 2006; and/or U.S. patent application Ser. No. ______ (patent counsel's matter no. 56920-8015-US00), filed concurrently herewith, each of which is hereby incorporated by reference in its entirety.
  • FIGS. 16-25 show sample contents of the home facts database maintained and used by the facility.
  • the home facts database stores home attribute values and associated information in six tables: a property attribute value table, a property table, a property attribute type table, a data source type table, an attribute value enum table, and an attribute usage table.
  • FIGS. 16-21 show an initial state of the home facts database, while FIGS. 22-23 and 24 - 25 each correspond to subsequent states of the database.
  • FIG. 16 is a table diagram showing sample contents of the property attribute value table.
  • the property attribute value table 1600 contains a row for each value for a particular house (i.e., property) for a particular attribute (i.e., home fact) obtained from a particular data source, such as rows 1611 - 1624 shown in the drawing.
  • Each row is divided into the following columns: a PropertyID column 1601 containing a unique identifier for the home; a PropertyAttributeTypeID column 1602 containing a unique identifier identifying the particular attribute whose value is contained by the row; a DataSourceTypeID column 1603 containing a unique identifier for the source of the attribute value contained by the row; a SeqNbr column 1604 indicating the number of values for this home and attribute previously obtained from this data source; an AttributeValueEnumID column 1605 containing an identifier for the attribute value if the attribute value is of an enumerated type; an AttributeValue column 1606 containing a value for the attribute if the attribute is for a non-enumerated type; an AttributeUsageID column 1607 containing an identifier for a manner of interpreting the attribute value indicated by the row; and a UseRank column 1608 indicating where in a list of attribute values for the home the attribute value indicated by the
  • Additional information about the home identified by the PropertyID column of a particular row can be found in the property table, linked by the PropertyID. Additional information about the identity of the attribute identified by the PropertyAttributeTypeID in a particular row may be found in the property attribute type table, linked by PropertyAttributeTypeID. Additional information about the DataSourceTypeID contained in a particular row may be found in the data source type table, linked by DataSourceTypeID. Additional information about the AttributeValueEnumID contained in a particular row may be found in the attribute value enum table, linked by the AttributeValueEnumID. Additional information about the AttributeUsageID contained by a particular row may be found in the attribute usage table, linked by AttributeUsageID.
  • FIG. 16 and each of the table diagrams discussed below show a table whose contents and organization are designed to make them more comprehensible by a human reader, those skilled in the art will appreciate that actual data structures used by the facility to store this information may differ from the table shown, in that they, for example, may be organized in a different manner; may contain more or less information than shown; may be compressed and/or encrypted; etc.
  • FIG. 17 is a table diagram showing sample contents of the property table in the first state of the home facts database.
  • the property table 1700 contains a row for each home for which attribute values are contained by the property attribute value table, such as rows 1711 and 1712 .
  • Each row is divided into the following columns: a PropertyID column 1701 containing a property ID uniquely identifying the home; an address column 1702 containing an address for the home; a county column 1703 showing the county in which the home is located; a city column 1704 showing a city in which the home is located; a state column 1705 showing a state in which the home is located; and a zip column 1706 showing a zip code for the home.
  • the property table may contain different or additional information about each home, or additional information about each home may be contained in another table.
  • row 1711 of the property table indicates that the home having property ID 11111111, for which attribute values are specified by rows 1611 - 1623 of the property attribute value table has address 1234 Holly Avenue, is located in King County, in the city of Seattle, in the State of Washington, and has the zip code 98122.
  • the facility receives an attribute value for a home not corresponding to a row of the property table, the facility generates a new property ID identifying the home, and adds a row to the property table containing the generated property ID and other information and other information identifying the home.
  • FIG. 18 is a table diagram showing sample contents of the property attribute type table in the first state of the home facts database.
  • the property attribute type table 1800 contains a row for each different attribute for which the property attribute value table can store a value, such as rows 1811 - 1818 .
  • An attribute is also referred to herein as a attribute type.
  • Each row is divided into the following columns: a PropertyAttributeTypeID 1801 containing a PropertyAttributeTypeID uniquely identifying the attribute; and a PropetyAttributeTypeDesc 1802 containing a description of the attribute.
  • row 1811 indicates that the attribute having PropertyAttributeTypeID 111 , for which values are stored in rows 1611 , 1612 , and 1624 of the property attribute value table, has the description “number of bedrooms.”
  • this attribute and a PropertyAttributeTypeID for it simply need to be added to a new row of the property attribute type table.
  • FIG. 19 is a table diagram showing sample contents of the data source type table in the first state of the home facts database.
  • the data source type table 1900 has a row for each source or type of source of attribute values, such as rows 1911 - 1912 .
  • Each row is divided into the following columns: a DataSourceTypeID 1901 containing an identifier for the data source or data source type; and a DataSourceTypeDesc 1902 containing a description for this data source or data source type.
  • row 1911 indicates that the DataSourceTypeID 1 , which is the data source from which the attribute values contained in rows 1611 , 1613 , 1615 , 1616 , 1618 , 1620 , 1622 , and 1624 was obtained, is one or more local governments.
  • Row 1911 indicates that the data source corresponding to DataSourceTypeID 2 , from which the attribute values contained in rows 1612 , 1614 , 1617 , 1619 , 1621 , and 1623 of the property attribute value table is the current owner of the corresponding home.
  • FIG. 20 is a table diagram showing sample contents of the attribute value enum table in the first state of the home facts database.
  • the attribute value enum table 2000 contains rows each corresponding to an enumerated value for an attribute whose values are enumerated, such as rows 2011 - 2017 . Each row is divided into the following columns: an AttributeValueEnumID 2001 containing an AttributeValueEnumID identifying the enumerated value; a PropertyAttributeTypeID column 2002 containing a PropertyAttributeTypeID of the attribute for which the enumerated value is available; and an AttributeValueEnumDesc column 2003 containing a description of the enumerated value.
  • rows 2011 - 2013 each define one of three different enumerated values for the attribute having PropertyAttributeTypeID 118 , i.e., the roof type attribute defined by row 1818 of the Property Attribute Type table shown in FIG. 18 .
  • Row 2011 indicates that, for this attribute, the enumerated value composite is assigned AttributeValueEnumID 1 .
  • Rows 2012 and 2013 respectively indicate that the enumerated value cedar shake is assigned AttributeValueEnumID 2 , while the enumerated value clay tile is assigned AttributeValueEnumID 3 .
  • Rows 2014 - 2017 similarly define enumerated values for the attribute having PropertyAttributeTypeID 116 , i.e., the cooling attribute defined in row 1816 of the property attribute type table. Where enumerated values of a new attribute are to be stored in the property attribute value table, each of those enumerated values should be defined by adding a new row to the attribute value enum table.
  • FIG. 21 is a table diagram showing sample contents of the attribute usage table in a first state of the home facts database.
  • the attribute usage table 2100 has a row for each different attribute value usage, such as rows 2111 - 2114 .
  • Each row is divided into the following columns: an AttributeUsageID column 2101 containing an attribute usage ID assigned to the usage to which the row corresponds; an AttributeUsageDescription column 2102 that contains a description of the usage; an AttributeDataTypeID column 2103 that contains a data type selected for the usage; and an AttributeUnitTypeID column 2104 that, for usages in which the value is expressed in a particular unit, contains an indication of that unit.
  • row 2111 indicates that the usage having AttributeUsageID 1 is a whole number based upon the integer data type, and does not have any units. This usage is employed in the following rows of the property attribute value table shown in FIG. 16 : 1611 - 1614 , 1618 , 1619 , 1622 , and 1624 .
  • the first state of the home facts database reflects the attribute values shown in FIG. 12 and originally obtained from a first source, as well as the values shown in FIG. 13 and provided by the owner of the home.
  • the owner having DataSourceTypeID 2 , provided values for the following attributes: the number of bedrooms attribute having PropertyAttributeTypeID 111 (row 1612 ); the number of bathrooms attribute having PropertyAttributeTypeID 112 (row 1613 ); the home size attribute having PropertyAttributeTypeID 114 (row 1617 ); the total number of rooms having PropertyAttributeTypeID 115 (row 1619 ); the cooling attribute having PropertyAttributeTypeID 116 (row 1621 ); and the roof type property having PropertyAttributeTypeID 118 (row 1623 ).
  • the owner failed to provide a value for, among other attributes, the lot size attribute having PropertyAttributeTypeID 113 .
  • the original data source failed to provide a value for the roof type attribute, having PropertyAttributeTypeID 118 .
  • FIGS. 22 and 23 relate to a second state of the home facts database, reflecting the addition of a new attribute to the home facts database.
  • FIG. 22 is a table diagram showing sample contents of the property attribute type table in the second state of the home facts database. It can be seen in table 2200 that row 2219 has been added to the property attribute type table shown in FIG. 18 . Row 2219 defines a new attribute, school district, and assigns to it a PropertyAttributeTypeID 140 . The addition of this row to the property attribute type table to store values for this new attribute, and attribute value sources, such as the owner, to provide values for this new attribute.
  • FIG. 23 is a table diagram showing several contents of the property attribute value table in the second state of the home facts database. It can be seen from this table 2300 that a new row 2325 has been added to table 1600 shown in FIG. 16 . It shows that, subsequent to adding the new row 2219 to the property attribute type table, the owner of the home having property ID 11111111 provided the attribute value 203 for the new school district attribute.
  • FIGS. 24-25 show a third state of the home facts database reflecting the addition of a new data source to the home facts database.
  • FIG. 24 is a table diagram showing sample contents of the data source type table in the third state of the home facts database.
  • the table 2400 shows the addition of a new row 2413 corresponding to a new source of attribute values, a verified agent, i.e., a real estate agent verified as acting on behalf of the current owner of the home. Row 2413 assigns this data source the DataSourceTypeID 3 .
  • FIG. 25 is a table diagram showing sample contents of the property attribute value table 2500 in the third state of the home facts database.
  • the table 2500 shows the addition of new row 2526 which indicates that the value 5350 for the lot size attribute having property attribute type 113 has been obtained from the verified agent data source. This is consistent with the owner's agent performing or commissioning a survey of the lot size and determining that it is slightly larger than the value attributed by the local government data source.
  • AttributeUsageID and/or UseRank columns shown in the property attribute value table are relocated to the property attribute type table, such that they are stored only once for each attribute, as opposed to once for each combination of attribute, home, data source, and sequence number.
  • the facility employs various approaches to selecting from among and/or combining attribute values for the same home obtained from different sources.
  • the facility employs an ordering of data sources called an attribute value source authority precedence that specifies, where more than one data source provides a value for the same home and attribute, which is to be considered the most authoritative.
  • the facility may maintain and apply a single attribute value source authority precedence across all attributes, or multiple attribute value source authority precedences that are each targeted to a single attribute or a larger proper subset of the full list of attributes.
  • the facility enables a user to identify himself or herself as the owner of a home without immediately editing the home facts associated with that home.
  • the facility omits IP address blacklisting from the process it performs to determine whether to identify a user as the owner of a home.
  • the above-described facility may be straightforwardly adapted or extended in various ways.
  • the facility may employ a variety of database schemas and may store values of a variety of types for attributes of all sorts of homes or other properties. While the foregoing description makes reference to particular embodiments, the scope of the invention is defined solely by the claims that follow and the elements recited therein.

Abstract

A facility for representing home attribute values for a plurality of homes and a plurality of home attributes is described. The facility incorporates a data structure comprising, for each of the plurality of homes, for each of the plurality of attribute value sources, the capacity to store values for any of the plurality of home attributes obtained from the attribute value source.

Description

    TECHNICAL FIELD
  • The described technology is directed to the fields of information gathering and representation.
  • BACKGROUND
  • It can be useful to have information about the attributes of one or more properties, such as one or more residential properties. Typical examples of such “home facts” include lot size, number of bedrooms, number of bathrooms, total floor space, view type, and roof type. By obtaining home facts for a home of interest, a person can arrive at a better sense of the home and its level of suitability to particular buyers.
  • In many cases, information about at least some home facts of a particular home is compiled by a governmental agency, such as the assessor's office for the county in which the home is located. Such information may be available directly from the governmental agency, and/or an intermediary information provider.
  • Unfortunately, information about home facts obtained in this way is frequently incomplete, in that it may cover only a few of a longer list of home facts that are of interest. Additionally, information about home facts obtained in this way is often out of date, or otherwise inaccurate. These deficiencies, typical of home facts information derived from common sources, tend to limit the value of presently-available home facts information.
  • Accordingly, an approach capable of acquiring, storing, and using a more complete and accurate set of home facts for a particular house than is available from government sources would have significant utility.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • FIG. 1 is a high-level data flow diagram showing data flow within a typical arrangement of components used to provide the facility.
  • FIG. 2 is a block diagram showing some of the components typically incorporated in at least some of the computer systems and other devices on which the facility executes.
  • FIG. 3 is a display diagram showing a sample display typically presented by the facility before the owner for a particular home has inputted home facts—i.e., attribute values—for a particular home.
  • FIGS. 4A-4B contain a flow diagram showing steps typically performed by the facility in order to determine whether to identify a particular user as the owner of a particular home, and subsequently permit that user to provide attribute values for that home that are stored in the home facts database.
  • FIGS. 5 and 6 are display diagrams showing a sample display presented by the facility to ask a question of the user.
  • FIG. 7 is a display diagram showing a typical display presented by the facility when the user has been identified as the owner of the home.
  • FIG. 8 is a display diagram showing a typical display presented by the facility in order to obtain credit card information from the user.
  • FIG. 9 is a display diagram showing a display typically presented by the facility in connection with the manual resolution process.
  • FIG. 10 is a display diagram showing a typical display presented by the facility in order to determine whether the user purchased the home from the owner presently identified for the home.
  • FIG. 11 is a display diagram showing a sample display presented by the facility that permits a user who is currently identified as the owner of the home to relinquish confirmed ownership of the home.
  • FIG. 12 is a display diagram showing an initial version of a display usable by a user identified as the owner of the home to provide attribute values for the home.
  • FIG. 13 is a display diagram showing the second version of the display shown in FIG. 12.
  • FIG. 14 is a display diagram showing a sample display presented by the facility in response to receiving home facts from the user identified as the owner of the home.
  • FIG. 15 is a display diagram showing a sample display presented by the facility containing a valuation of the home generated at least in part based upon the attribute values provided by the owner.
  • FIG. 16 is a table diagram showing sample contents of the property attribute value table.
  • FIG. 17 is a table diagram showing sample contents of the property table in the first state of the home facts database.
  • FIG. 18 is a table diagram showing sample contents of the property attribute type table in the first state of the home facts database.
  • FIG. 19 is a table diagram showing sample contents of the data source type table in the first state of the home facts database.
  • FIG. 20 is a table diagram showing sample contents of the attribute value enum table in the first state of the home facts database.
  • FIG. 21 is a table diagram showing sample contents of the attribute usage table in a first state of the home facts database.
  • FIG. 22 is a table diagram showing sample contents of the property attribute type table in the second state of the home facts database.
  • FIG. 23 is a table diagram showing several contents of the property attribute value table in the second state of the home facts database.
  • FIG. 24 is a table diagram showing sample contents of the data source type table in the third state of the home facts database.
  • FIG. 25 is a table diagram showing sample contents of the property attribute value table 2500 in the third state of the home facts database.
  • DETAILED DESCRIPTION
  • A software facility for managing information about home facts (“the facility”) is described. The facility takes advantage of an extensible storage architecture for home facts information, which can be easily expanded to accommodate new home facts or updated ranges of values for existing home facts. In some embodiments, the storage architecture simultaneously stores home facts information from multiple sources about the same home, such as home facts information from a government agency, home facts obtained from a user identified as the owner of the home, and home facts obtained from a user identified as having some other role with respect to the home, such as a former owner, an appraiser charged with appraising the house, or a listing agent who is undertaking to sell the house.
  • In some embodiments, the facility provides a user interface that the owner of a home or another user knowledgeable about the home can use to correct information provided for the home by another source; confirm information provided for the home by another source; or provide information about the home not available from another source. The home facts information provided using the user interface can include various types of data, such as numerical values, text, items selected from enumerated lists, photos or videos of the home, documents relating to the home such as appraisals or inspection reports, etc.
  • In some embodiments, the facility displays together home facts information about a particular home from multiple sources, or otherwise uses home facts information about a particular home from multiple sources. In some embodiments, the facility employs logic for combining home facts information from multiple sources to obtain composite home facts information for a home whose completeness and/or accuracy may exceed those of home facts information from a government agency. As useful home facts information for a home becomes available from additional sources, the quality of the composite home facts obtained for the home using the combination logic may continue to increase.
  • In some embodiments, the facility employs one or more approaches to identifying the current owner of a home, so as to limit the ability of non-owners to inaccurately identify themselves as owners and submit unreliable home facts.
  • FIG. 1 is a high-level data flow diagram showing data flow within a typical arrangement of components used to provide the facility. FIG. 1 shows a home facts database 101 in which the facility stores home facts information obtained from multiple sources, which is hosted by one or more database servers 100. As examples, the home facts database contains home facts information 112 exploited from public information sources such as title recording offices, property tax assessment or collection agencies, or intermediaries providing access to such data, via the Internet 130 and a data importation server 140. Additionally, the home facts database contains home facts 122 inputted by users identified as owners of the subject homes via the Internet and a web server 150. All of the contents of the home facts database are potentially available for inclusion in web pages 162 generated by the facility containing information about particular houses or groups of houses and served to visitors 161.
  • While various embodiments are described in terms of the environment described above, those skilled in the art will appreciate that the facility may be implemented in a variety of other environments including a single, monolithic computer system, as well as various other combinations of computer systems or similar devices connected in various ways. In various embodiments, a variety of computing systems or other different client devices may be used in place of the web client computer systems, such as mobile phones, personal digital assistants, televisions, cameras, etc.
  • FIG. 2 is a block diagram showing some of the components typically incorporated in at least some of the computer systems and other devices on which the facility executes. These computer systems and devices 200 may include one or more central processing units (“CPUs”) 201 for executing computer programs; a computer memory 202 for storing programs and data while they are being used; a persistent storage device 203, such as a hard drive for persistently storing programs and data; a computer-readable media drive 204, such as a CD-ROM drive, for reading programs and data stored on a computer-readable medium; and a network connection 205 for connecting the computer system to other computer systems, such as via the Internet. While computer systems configured as described above are typically used to support the operation of the facility, those skilled in the art will appreciate that the facility may be implemented using devices of various types and configurations, and having various components.
  • In some embodiments, identified owners and/or visitors may use a variety of devices in order to input home facts or view home facts provided form the home facts database. These users may use desktop computers, laptop computers, wireless email devices, wireless phones, set top boxes, automobile computers, or other devices having a web browser to interact with web pages with respect to such information. Additionally, these users may use these or other types of devices to communicate directly or indirectly with the server in a variety of other modes, including via email, text message, voice message, live voice call, etc.
  • FIG. 3 is a display diagram showing a sample display typically presented by the facility before the owner for a particular home has inputted home facts—i.e., attribute values—for a particular home. The display 300 indicates attribute values 310 obtained from a source other than the owner, such as attribute values obtained from government sources. The display further shows a valuation 330 determined in accordance with these attribute values, and a control 340 that the user may activate to display all such attribute values. The display further includes an indication that attribute values have not yet been received for this home by the home's owner, and a control 349 that the user may activate in order to provide attribute values for the home.
  • While FIG. 3 in each of the display diagrams discussed below show particular display contents and organization, generally formatted as a web page or a portion of a web page, those skilled in the art will appreciate that actual displays used by the facility to present information may differ from those shown, in that they, for example, may contain different information, information that is portrayed differently, a different organization, a different format, etc.
  • In some embodiments, in response to the user's activation of control 349, the facility performs a process to determine whether to identify the user as the owner of the current home. FIGS. 4A-4B contain a flow diagram showing steps typically performed by the facility in order to determine whether to identify a particular user as the owner of a particular home, and subsequently permit that user to provide attribute values for that home that are stored in the home facts database. In step 401, if an owner is presently identified for this home, then the facility continues in step 402, else the facility continues in step 404. In step 402, if the identified owner is the current user, then the facility continues in step 403, else the facility continues through connector A at step 421, shown in FIG. 4B. In step 403, the facility permits the current user to provide and/or edit home facts as is discussed further below in connection with FIGS. 12-15. After step 403, these steps conclude.
  • In step 404, if each of the following three conditions is true, then the facility continues in step 405, else the facility continues in step 410: the user is identified as the owner of fewer than X homes, such as one home; the facility possesses enough information to ask a question whose answer would be known to the owner of the home; and the IP address of the user's computer is not presently blacklisted. In step 405, the facility asks a question of the user whose answer would be known to the owner of the home.
  • FIGS. 5 and 6 are display diagrams showing a sample display presented by the facility to ask a question of the user. Display 500 includes a control 510 usable by the user to answer the posed question, here the name of the home's legal owner. This control is shown expanded in FIG. 6, with a list of names 611-616 that the user may select in response to the question, as well as alternative 620 indicating that the user's name is not among those displayed. In some embodiments, the name of the home's legal owner is randomly located within the order of names shown in the control, and/or randomly omitted from this list. In various embodiments, other types of questions whose answer is expected to be known by the home's owner are used in step 405. After the user operates the control 510 to select the correct answer to the question, the user selects a checkbox 530 confirming that he or she is the owner of the home, and activates a continue control 540.
  • Returning to FIG. 4A, in step 406, if the answer provided by the user to the question posed in step 405 is correct, then the facility continues in step 407, else the facility continues in step 408. In step 407, the facility identifies the current user as the owner of the home, and permits this user to enter home facts as described below. After step 407, these steps conclude.
  • FIG. 7 is a display diagram showing a typical display presented by the facility when the user has been identified as the owner of the home. The display 700 includes an indication 701 that the user has been identified as the owner of the home, and a control 702 that the user may activate in order to edit home details for the home. In some embodiments, rather than presenting the display shown in FIG. 7, after step 407, the facility immediately presents a display that enables the user to edit the home facts for the home, such as the display shown in FIG. 12.
  • Returning to FIG. 4A, in step 408, if the user has provided more than a number Y of incorrect answers to the questions posed in step 405 during a particular foregoing period of time, such as the current web browsing session, then the facility continues in step 409, else the facility continues in step 405 to ask another question whose answer would be known to the owner of the home. In step 409, the facility blacklists the IP address of the user's computer for Z days, such as seven days, preventing this computer from being used to claim a home by answering questions posed in step 405 for this period of time. After step 409, the facility continues in step 411.
  • In step 410, if this user has provided credit card information within the last H hours—such as the last one hour—that has subsequently been successfully verified, then the facility continues in step 407 to identify the user as the owner of the home, else the facility continues in step 411. In step 411, the facility obtains credit card information from the user.
  • FIG. 8 is a display diagram showing a typical display presented by the facility in order to obtain credit card information from the user. The display 800 contains controls 801-810 that may be used by the user to provide credit card information. The display further includes a checkbox 830 for the user to select in order to confirm that the user is the owner of the home. The display further includes a continued control 840 that the user may activate in order to submit the entered credit card information.
  • Returning to FIG. 4A, in step 412, if the user's account is blocked due to earlier credit card errors, then the facility continues in step 413, else the facility continues in step 414. In step 413, the user's efforts to be identified as the owner of the home fail, and these steps conclude without identifying the user as the owner of the home. In step 414, the credit card information obtained from the user in step 411 is verified, such as with the issuer of the credit card, a charge-clearing bureau associated with the credit card, or similar entity; if the credit card information is approved, then the facility continues in step 415, else the facility continues in step 416. In step 415, the facility identifies the user as the owner of the home and permits the user to enter home facts. After step 415, these steps conclude.
  • In step 416, if the user gives up on attempting to be identified as the owner of the home, then the facility continues in step 417, else the facility continues in step 418. In step 417, the user's efforts to be identified as the owner of the home fail, and these steps conclude without identifying the user as the owner of the home.
  • In step 418, if the user has tried more than T times, such as two times, to be identified as the owner of the home based on credit card information, then the facility continues in step 419, else the facility continues in step 411 to again obtain credit card information from the user.
  • In step 419, as the user has not given up, the facility initiates a manual resolution process for determining whether the user is the owner of the home. As an example, the manual resolution process may require the user to provide documentary evidence that he or she is the owner of the home to the operator of the facility, such as via postal mail, email, or the uploading of an image of such documentary evidence. Such documentary evidence may include copies or images of such documents as: a deed, a title, a mortgage statement, a property tax assessment, a property tax bill, a recent utility bill, or another document identifying both the home and the user and reflecting ownership of the home by the user.
  • FIG. 9 is a display diagram showing a display typically presented by the facility in connection with the manual resolution process. It contains information 900 about the manual resolution process, including a sample list of acceptable documents.
  • Returning to FIG. 4A, in step 420, the facility identifies the ownership of the home in accordance with the result of the manual resolution process. In some embodiments, this involves identifying the user as the owner of the home if the user successfully completes the manual resolution process, and not identifying any owner for the home if the user does not successfully complete the manual resolution process. After step 420, these steps conclude.
  • Turning to FIG. 4B, in step 421, if the user purchased the home from the person currently identified as the owner of the home, then the facility continues in step 422, else the facility continues in step 424.
  • FIG. 10 is a display diagram showing a typical display presented by the facility in order to determine whether the user purchased the home from the owner presently identified for the home. The display 1000 includes a control 1001 that the user may operate in order to indicate that they recently purchased the home, and begin an appropriate process for confirming their ownership of the home. In some embodiments, the display also includes a control 1002 that the user may activate to indicate that the user currently identified as the owner of the home maliciously and erroneously requested to be identified as the owner of the home, and a control 1003 that the user may activate in order to indicate that the user co-owns the home with the person presently identified as the owner of the home.
  • Returning to FIG. 4B, in step 422, the facility verifies the user with credit card information in accordance with steps 411, 412, 414, 416, and 418. In step 423, if the verification of step 422 succeeded, the facility identifies the user as the owner of the home and permits the user to enter home facts. After step 423, these steps conclude.
  • In step 424, the facility verifies the user with both a question—in accordance with steps 405, 406, and 408—and with credit card information—in accordance with steps 411, 412, 414, 416, and 418. In step 425, if both forms of verification performed in step 424 succeeded, then the facility continues in step 427, else the facility continues in step 426. In step 426, the user's efforts to be identified as the owner of the home fail, and these steps conclude without identifying the user as the owner of the home.
  • In step 427, the facility identifies the user as the owner of the home and permits the user to enter home facts for the home. In step 428, the facility notifies the user formerly identified as the owner of the home. In step 429, if the user formerly identified as the owner of the home dissents from the identification of the current user as the owner of the home, then the facility continues in step 430, else these steps conclude.
  • In step 430, the facility initiates a manual resolution process to determine which of the two users should be identified as the owner of the home. In some embodiments, this process is similar to the one described above in connection with step 419, selecting the user that is able to successfully provide documentary evidence that he or she currently owns the home. In step 431, the facility identifies the owner of the home in accordance with a manual resolution performed in step 430. After step 431, these steps conclude.
  • Those skilled in the art will appreciate that the steps shown in FIGS. 4A-4B may be altered in a variety of ways. For example, the order of the steps may be rearranged; substeps may be performed in parallel; shown steps may be omitted, or other steps may be included; etc.
  • In some embodiments (not shown), the facility permits the user to initiate manual resolution in some or all of the circumstances in which FIGS. 4A-4B show the user's attempt to be identified as the owner of the home failing, such as in step 413 and/or step 426.
  • FIG. 11 is a display diagram showing a sample display presented by the facility that permits a user who is currently identified as the owner of the home to relinquish confirmed ownership of the home. Display 1100 includes a control 1101 that the user may operate in order to specify a reason for relinquishing ownership. The display further includes a submit control 1102 that the user may activate in order to relinquish ownership of the home.
  • FIGS. 12-15 show a sample user interface typically presented by the facility that enables a user identified as the owner of a home to edit or update home facts associated with the home, i.e., provide attribute values for the home. FIG. 12 is a display diagram showing an initial version of a display usable by a user identified as the owner of the home to provide attribute values for the home. The initial version 1200 of the display contains controls 1201-1222, each corresponding to a different home attribute and showing a value for that attribute currently in the possession of the facility, such as a value obtained from a source other than the owner, such as a value obtained from a government source. For example, control 1202 indicates that the facility currently possesses a value of 5 for the number of bedrooms attribute.
  • FIG. 13 is a display diagram showing the second version of the display shown in FIG. 12. This version of the display 1300 shows the display after the user has used some of the controls to provide new values of the associated attributes. In particular, the user has used controls 1302, 1303, 1304, 1305, 1314, and 1320 to provide new values of the associated attributes. As one particular example, a user has used control 1302 to provide the value 6 for a number of bedrooms' attribute, for which the facility had earlier obtained the value of 5 from another source. These attribute values provided by the owner are consistent with a small addition that added 530 square feet and two rooms, including one bedroom and an expansion of a half bathroom, as well as central air conditioning. They also reflect that the home has a tile roof, a detail not present among the earlier-obtained attribute values. After using the controls to provide attribute values that differ from the ones initially shown, the user selects a checkbox 1330 again confirming that he or she is the owner of the home and promising that the home facts entered by the user are accurate, then activates a submit control 1341 to provide these attribute values. The user can instead activate a cancel control 1341 in order not to provide any attribute values for the home.
  • FIG. 14 is a display diagram showing a sample display presented by the facility in response to receiving home facts from the user identified as the owner of the home. The display 1400 is similar to display 300 shown in FIG. 4, but contains the attribute values 1450 provided by the owner, including attribute values 1451, 1452, and 1454, which differ from the attribute values provided for the same attributes by another source of attribute values, and are shown in bold to highlight this difference. Again, the user can select a control 1440 to display, for all of the home's attributes, the values provided by the owner and the other attribute value source. The display also contains a control 1460 that the user may activate in order to generate a valuation for the home based upon the attribute values provided by the owner, or some combination of the attribute values provided by the owner and attribute values obtained from one or more other sources.
  • FIG. 15 is a display diagram showing a sample display presented by the facility containing a valuation of the home generated at least in part based upon the attribute values provided by the owner. The display 1500 includes such a valuation 1560. In some embodiments, the facility generates this valuation in accordance with one or more of U.S. patent application Ser. No. 11/347,000, filed on Feb. 3, 2006; U.S. patent application Ser. No. 11/347,024, filed on Feb. 3, 2006; and/or U.S. patent application Ser. No. ______ (patent counsel's matter no. 56920-8015-US00), filed concurrently herewith, each of which is hereby incorporated by reference in its entirety.
  • FIGS. 16-25 show sample contents of the home facts database maintained and used by the facility. In some embodiments, the home facts database stores home attribute values and associated information in six tables: a property attribute value table, a property table, a property attribute type table, a data source type table, an attribute value enum table, and an attribute usage table. FIGS. 16-21 show an initial state of the home facts database, while FIGS. 22-23 and 24-25 each correspond to subsequent states of the database.
  • FIG. 16 is a table diagram showing sample contents of the property attribute value table. The property attribute value table 1600 contains a row for each value for a particular house (i.e., property) for a particular attribute (i.e., home fact) obtained from a particular data source, such as rows 1611-1624 shown in the drawing. Each row is divided into the following columns: a PropertyID column 1601 containing a unique identifier for the home; a PropertyAttributeTypeID column 1602 containing a unique identifier identifying the particular attribute whose value is contained by the row; a DataSourceTypeID column 1603 containing a unique identifier for the source of the attribute value contained by the row; a SeqNbr column 1604 indicating the number of values for this home and attribute previously obtained from this data source; an AttributeValueEnumID column 1605 containing an identifier for the attribute value if the attribute value is of an enumerated type; an AttributeValue column 1606 containing a value for the attribute if the attribute is for a non-enumerated type; an AttributeUsageID column 1607 containing an identifier for a manner of interpreting the attribute value indicated by the row; and a UseRank column 1608 indicating where in a list of attribute values for the home the attribute value indicated by the current row should be displayed. Additional information about the home identified by the PropertyID column of a particular row can be found in the property table, linked by the PropertyID. Additional information about the identity of the attribute identified by the PropertyAttributeTypeID in a particular row may be found in the property attribute type table, linked by PropertyAttributeTypeID. Additional information about the DataSourceTypeID contained in a particular row may be found in the data source type table, linked by DataSourceTypeID. Additional information about the AttributeValueEnumID contained in a particular row may be found in the attribute value enum table, linked by the AttributeValueEnumID. Additional information about the AttributeUsageID contained by a particular row may be found in the attribute usage table, linked by AttributeUsageID.
  • While FIG. 16 and each of the table diagrams discussed below show a table whose contents and organization are designed to make them more comprehensible by a human reader, those skilled in the art will appreciate that actual data structures used by the facility to store this information may differ from the table shown, in that they, for example, may be organized in a different manner; may contain more or less information than shown; may be compressed and/or encrypted; etc.
  • FIG. 17 is a table diagram showing sample contents of the property table in the first state of the home facts database. The property table 1700 contains a row for each home for which attribute values are contained by the property attribute value table, such as rows 1711 and 1712. Each row is divided into the following columns: a PropertyID column 1701 containing a property ID uniquely identifying the home; an address column 1702 containing an address for the home; a county column 1703 showing the county in which the home is located; a city column 1704 showing a city in which the home is located; a state column 1705 showing a state in which the home is located; and a zip column 1706 showing a zip code for the home. In various embodiments, the property table may contain different or additional information about each home, or additional information about each home may be contained in another table. For example, row 1711 of the property table indicates that the home having property ID 11111111, for which attribute values are specified by rows 1611-1623 of the property attribute value table has address 1234 Holly Avenue, is located in King County, in the city of Seattle, in the State of Washington, and has the zip code 98122. When the facility receives an attribute value for a home not corresponding to a row of the property table, the facility generates a new property ID identifying the home, and adds a row to the property table containing the generated property ID and other information and other information identifying the home.
  • FIG. 18 is a table diagram showing sample contents of the property attribute type table in the first state of the home facts database. The property attribute type table 1800 contains a row for each different attribute for which the property attribute value table can store a value, such as rows 1811-1818. An attribute is also referred to herein as a attribute type. Each row is divided into the following columns: a PropertyAttributeTypeID 1801 containing a PropertyAttributeTypeID uniquely identifying the attribute; and a PropetyAttributeTypeDesc 1802 containing a description of the attribute. For example, row 1811 indicates that the attribute having PropertyAttributeTypeID 111, for which values are stored in rows 1611, 1612, and 1624 of the property attribute value table, has the description “number of bedrooms.” In order to adapt the home facts database to store values of a new attribute, this attribute and a PropertyAttributeTypeID for it simply need to be added to a new row of the property attribute type table.
  • FIG. 19 is a table diagram showing sample contents of the data source type table in the first state of the home facts database. The data source type table 1900 has a row for each source or type of source of attribute values, such as rows 1911-1912. Each row is divided into the following columns: a DataSourceTypeID 1901 containing an identifier for the data source or data source type; and a DataSourceTypeDesc 1902 containing a description for this data source or data source type. For example, row 1911 indicates that the DataSourceTypeID 1, which is the data source from which the attribute values contained in rows 1611, 1613, 1615, 1616, 1618, 1620, 1622, and 1624 was obtained, is one or more local governments. Row 1911 indicates that the data source corresponding to DataSourceTypeID 2, from which the attribute values contained in rows 1612, 1614, 1617, 1619, 1621, and 1623 of the property attribute value table is the current owner of the corresponding home. In order to add a new data source or data source type from which attribute values may be obtained and stored in the property attribute value table, it is only necessary to add a new row to data source type table identifying the source or source table and assigning a DataSourceTypeID to it.
  • FIG. 20 is a table diagram showing sample contents of the attribute value enum table in the first state of the home facts database. The attribute value enum table 2000 contains rows each corresponding to an enumerated value for an attribute whose values are enumerated, such as rows 2011-2017. Each row is divided into the following columns: an AttributeValueEnumID 2001 containing an AttributeValueEnumID identifying the enumerated value; a PropertyAttributeTypeID column 2002 containing a PropertyAttributeTypeID of the attribute for which the enumerated value is available; and an AttributeValueEnumDesc column 2003 containing a description of the enumerated value. For example, rows 2011-2013 each define one of three different enumerated values for the attribute having PropertyAttributeTypeID 118, i.e., the roof type attribute defined by row 1818 of the Property Attribute Type table shown in FIG. 18. Row 2011 indicates that, for this attribute, the enumerated value composite is assigned AttributeValueEnumID 1. Rows 2012 and 2013 respectively indicate that the enumerated value cedar shake is assigned AttributeValueEnumID 2, while the enumerated value clay tile is assigned AttributeValueEnumID 3. Rows 2014-2017 similarly define enumerated values for the attribute having PropertyAttributeTypeID 116, i.e., the cooling attribute defined in row 1816 of the property attribute type table. Where enumerated values of a new attribute are to be stored in the property attribute value table, each of those enumerated values should be defined by adding a new row to the attribute value enum table.
  • FIG. 21 is a table diagram showing sample contents of the attribute usage table in a first state of the home facts database. The attribute usage table 2100 has a row for each different attribute value usage, such as rows 2111-2114. Each row is divided into the following columns: an AttributeUsageID column 2101 containing an attribute usage ID assigned to the usage to which the row corresponds; an AttributeUsageDescription column 2102 that contains a description of the usage; an AttributeDataTypeID column 2103 that contains a data type selected for the usage; and an AttributeUnitTypeID column 2104 that, for usages in which the value is expressed in a particular unit, contains an indication of that unit. For example, row 2111 indicates that the usage having AttributeUsageID 1 is a whole number based upon the integer data type, and does not have any units. This usage is employed in the following rows of the property attribute value table shown in FIG. 16: 1611-1614, 1618, 1619, 1622, and 1624.
  • Based upon the foregoing, it can be seen that the first state of the home facts database reflects the attribute values shown in FIG. 12 and originally obtained from a first source, as well as the values shown in FIG. 13 and provided by the owner of the home. It can be seen that the owner, having DataSourceTypeID 2, provided values for the following attributes: the number of bedrooms attribute having PropertyAttributeTypeID 111 (row 1612); the number of bathrooms attribute having PropertyAttributeTypeID 112 (row 1613); the home size attribute having PropertyAttributeTypeID 114 (row 1617); the total number of rooms having PropertyAttributeTypeID 115 (row 1619); the cooling attribute having PropertyAttributeTypeID 116 (row 1621); and the roof type property having PropertyAttributeTypeID 118 (row 1623). The owner failed to provide a value for, among other attributes, the lot size attribute having PropertyAttributeTypeID 113. The original data source, on the other hand, failed to provide a value for the roof type attribute, having PropertyAttributeTypeID 118.
  • FIGS. 22 and 23 relate to a second state of the home facts database, reflecting the addition of a new attribute to the home facts database. FIG. 22 is a table diagram showing sample contents of the property attribute type table in the second state of the home facts database. It can be seen in table 2200 that row 2219 has been added to the property attribute type table shown in FIG. 18. Row 2219 defines a new attribute, school district, and assigns to it a PropertyAttributeTypeID 140. The addition of this row to the property attribute type table to store values for this new attribute, and attribute value sources, such as the owner, to provide values for this new attribute.
  • FIG. 23 is a table diagram showing several contents of the property attribute value table in the second state of the home facts database. It can be seen from this table 2300 that a new row 2325 has been added to table 1600 shown in FIG. 16. It shows that, subsequent to adding the new row 2219 to the property attribute type table, the owner of the home having property ID 11111111 provided the attribute value 203 for the new school district attribute.
  • FIGS. 24-25 show a third state of the home facts database reflecting the addition of a new data source to the home facts database. FIG. 24 is a table diagram showing sample contents of the data source type table in the third state of the home facts database. The table 2400 shows the addition of a new row 2413 corresponding to a new source of attribute values, a verified agent, i.e., a real estate agent verified as acting on behalf of the current owner of the home. Row 2413 assigns this data source the DataSourceTypeID 3.
  • FIG. 25 is a table diagram showing sample contents of the property attribute value table 2500 in the third state of the home facts database. The table 2500 shows the addition of new row 2526 which indicates that the value 5350 for the lot size attribute having property attribute type 113 has been obtained from the verified agent data source. This is consistent with the owner's agent performing or commissioning a survey of the lot size and determining that it is slightly larger than the value attributed by the local government data source.
  • In some embodiments, the AttributeUsageID and/or UseRank columns shown in the property attribute value table are relocated to the property attribute type table, such that they are stored only once for each attribute, as opposed to once for each combination of attribute, home, data source, and sequence number.
  • In some embodiments, the facility employs various approaches to selecting from among and/or combining attribute values for the same home obtained from different sources. In some embodiments, the facility employs an ordering of data sources called an attribute value source authority precedence that specifies, where more than one data source provides a value for the same home and attribute, which is to be considered the most authoritative. The facility may maintain and apply a single attribute value source authority precedence across all attributes, or multiple attribute value source authority precedences that are each targeted to a single attribute or a larger proper subset of the full list of attributes.
  • In some embodiments, the facility enables a user to identify himself or herself as the owner of a home without immediately editing the home facts associated with that home.
  • In some embodiments, the facility omits IP address blacklisting from the process it performs to determine whether to identify a user as the owner of a home.
  • It will be appreciated by those skilled in the art that the above-described facility may be straightforwardly adapted or extended in various ways. For example, the facility may employ a variety of database schemas and may store values of a variety of types for attributes of all sorts of homes or other properties. While the foregoing description makes reference to particular embodiments, the scope of the invention is defined solely by the claims that follow and the elements recited therein.

Claims (37)

1. A method in a computing system for constructing a repository containing attribute information for a plurality of homes, comprising, for each of the plurality of homes:
procuring values for attributes among a plurality of attributes that were attributed to the home by a government agency;
storing the procured attribute values for the home with an indication that they were attributed to the home by a government agency;
providing a mechanism for a user to identify himself as an owner of the home;
where the mechanism is used to identify a user as an owner of the home, obtaining from the user values for attributes among the plurality of attributes;
storing the obtained attribute values for the home with an indication that they were attributed to the home by an owner of the home, such that all of the procured attribute values and all of the obtained attribute values are simultaneously stored; and
making available for display by any user both the procured and obtained attribute values for the home.
2. The method of claim 1 wherein providing the mechanism comprises:
posing a question whose answer would be known to the owner of the home;
receiving an answer to the posed question from a user;
only if the received answer is correct, identifying the user as the owner of the home;
if the received answer is incorrect:
obtaining credit card information from the user;
determining whether the obtained credit card information is associated with a valid credit card; and
only if the obtained credit card information is associated with a valid credit card, identifying the user as the owner of the home.
3. The method of claim 1 wherein providing the mechanism comprises:
obtaining credit card information from the user;
determining whether the obtained credit card information is associated with a valid credit card; and
only if the obtained credit card information is associated with a valid credit card, identifying the user as the owner of the home.
4. A computer-readable medium whose contents cause a computing system to perform a method for constructing a repository containing attribute information for a plurality of properties, the method comprising, for each of the plurality of properties:
procuring values for attributes among a plurality of attributes that were attributed to the property by a government agency;
storing the procured attribute values for the property with an indication that they were attributed to the property by a government agency;
providing a mechanism for a user to identify himself as an owner of the property;
where the mechanism is used to identify a user as an owner of the property, obtaining from the user values for attributes among the plurality of attributes;
storing the obtained attribute values for the property with an indication that they were attributed to the property by an owner of the property, such that all of the procured attribute values and all of the obtained attribute values are simultaneously stored; and
making available for display by any user both the procured and obtained attribute values for the property.
5. A computer-readable medium whose contents cause a computing system to perform a method for publishing information about a distinguished home, the method comprising:
identifying a distinguished user as the owner of the distinguished home if the distinguished user can either (1) answer a question whose answer is likely to be known by the present owner of the distinguished home or (2) provide credit card information associated with a valid credit card;
if the distinguished user is identified as the owner of the distinguished home:
receiving information about the distinguished home from the distinguished user; and
including the received information in a web page relating to the distinguished home that is available for retrieval by any user without restriction.
6. The computer-readable medium of claim 5 wherein the received information specifies values for one or more home attributes.
7. The computer-readable medium of claim 5, further comprising:
automatically determining a valuation of the distinguished home based at least in part on at least a portion of the received information; and
including the determined valuation in a web page relating to the distinguished home that is available for retrieval by any user without restriction.
8. The computer-readable medium of claim 5, further comprising identifying a distinguished user as the owner of the distinguished home if the distinguished user provides documentary evidence that the distinguished user is the owner of the distinguished home.
9. The computer-readable medium of claim 5, further comprising identifying a distinguished user as the owner of the distinguished home if the distinguished user provides a copy of a deed showing the distinguished user to be the owner of the distinguished home.
10. The computer-readable medium of claim 5, further comprising identifying a distinguished user as the owner of the distinguished home if the distinguished user provides a copy of a title showing the distinguished user to be the owner of the distinguished home.
11. The computer-readable medium of claim 5, further comprising identifying a distinguished user as the owner of the distinguished home if the distinguished user provides a copy of a mortgage statement showing the distinguished user to be the owner of the distinguished home.
12. The computer-readable medium of claim 5, further comprising identifying a distinguished user as the owner of the distinguished home if the distinguished user provides a copy of a property tax assessment showing the distinguished user to be the owner of the distinguished home.
13. The computer-readable medium of claim 5, further comprising identifying a distinguished user as the owner of the distinguished home if the distinguished user provides a copy of a property tax bill showing the distinguished user to be the owner of the distinguished home.
14. The computer-readable medium of claim 5, further comprising:
determining that the distinguished user and a second user are both simultaneously identified as the owner of the distinguished home; and
in response to the determining, initiating a manual process to identify a single owner of the distinguished home.
15. One or more computer memories collectively containing a data structure containing home attribute values for a plurality of homes and a plurality of home attributes, comprising, for each of the plurality of homes, for each of a plurality of attribute value sources, the capacity to store values for any of the plurality of home attributes obtained from the attribute value source.
16. The computer memories of claim 15 wherein the data structure comprises an attribute value table, each row of which contains indications of:
a home;
a home attribute;
an attribute value source; and
a value for the indicated home attribute attributed to the indicated home by the indicated attribute value source,
such that the table may simultaneously contain multiple rows for the same home and home attribute and different attribute value sources,
and such that any rows the table indicating a distinguished home may be used to display information about the distinguished home.
17. The computer memories of claim 16 wherein the data structure further comprises an attribute table, each row of which contains information identifying a different home attribute,
and wherein each row of the attribute value table indicates an attribute by containing a reference to a row of the attribute table whose contents identify the attribute,
such that the addition of a row to the attribute table whose contents identify a new home attribute enables rows to be added to the attribute value table that indicate values for the new home attribute.
18. The computer memories of claim 16 wherein the data structure contains both (1) a first row indicating a distinguished home, a distinguished home attribute, a first attribute value source, and a first value for the distinguished home attribute attributed to the distinguished home by the first attribute value source, and (2) a second row indicating the distinguished home, the distinguished home attribute, a second attribute value source that differs from the first attribute value source, and a second value for the distinguished home attribute attributed to the distinguished home by the second attribute value source that differs from the first value for the distinguished home attribute.
19. The computer memories of claim 18 wherein the first attribute value source is a government agency and the second attribute value source is a user identified as an owner of the distinguished home.
20. The computer memories of claim 15 wherein the data structure further comprises information indicating at least one attribute value source authority precedence, each attribute value source authority precedence specifying, for a designated attribute, a relative level of authority to be attributed to each of a plurality of attribute value sources providing values for the designated attribute.
21. One or more generated data signals collectively conveying a home attribute display data structure, the data structure having contents for causing a display device to display visual information that (a) identifies a home, (b) conveys a first value for a home attribute obtained from a first source, and (c) conveys a second value for the home attribute obtained from a second source distinct from the first source.
22. The generated data signals of claim 19 wherein the data structure further has contents for causing a display device to display visual information that (d) identifies the first source, and (e) identifies the second source.
23. A computing system for aggregating home attribute values, comprising:
an import module that imports home attribute values exported by one or more external electronic data sources;
a web serving module that serves web pages usable by authorized users to input home attribute values; and
a home facts repository that stores both home attribute values imported by the import module and home attribute values inputted via web pages served by the web serving module.
24. The computing system of claim 23 wherein the web serving module further serves web pages to users without restriction that contain both home attribute values imported by the import module and home attribute values inputted via web pages served by the web serving module.
25. A method in a computing system for managing home attribute values, comprising:
obtaining a value for an attribute of a home from a data source; and
adding a row to a first table indicating the received value and identifying the home, the attribute, and the data source, the first table containing a plurality of rows each corresponding to a value of one of a plurality of attributes of one of a plurality of homes obtained from one of a plurality of data sources.
26. The method of claim 25 wherein no attribute value has previously been obtained from the data source from which the attribute value is obtained, and wherein the row added to the first table identifies the data source from which the value is obtained by containing an identifier for the data source from which the value is obtained, the method further comprising:
selecting the value of the identifier for the data source from which the value is obtained; and
adding a row to a second table containing the selected value of the identifier and additional identifying information for the data source from which the value is obtained.
27. The method of claim 25 wherein no value has previously been obtained for the attribute for which the value is obtained, and wherein the row added to the first table identifies the attribute for which the value is obtained by containing an identifier for the attribute for which the value is obtained, the method further comprising:
selecting the value of the identifier for the attribute for which the value is obtained; and
adding a row to a second table containing the selected value of the identifier and additional identifying information for the attribute for which the value is obtained.
28. The method of claim 25 wherein no attribute value has previously been obtained for the home for which the attribute value is obtained, and wherein the row added to the first table identifies the data source from which the value is obtained by containing an identifier for the home for which the value is obtained, the method further comprising:
selecting the value of the identifier for the home for which the value is obtained; and
adding a row to a second table containing the selected value of the identifier and additional identifying information for the home for which the value is obtained.
29. The method of claim 25 wherein the obtained value is an enumerated value that has not previously been obtained for the attribute for which the value is obtained, and wherein the row added to the first table indicates the obtained value by containing an identifier for the attribute for the obtained value, the method further comprising:
selecting the value of the identifier for the obtained value; and
adding a row to a second table containing the selected value of the identifier and additional identifying information for the obtained value.
30. The method of claim 25 wherein the obtained value differs from a value indicated by a row of the first table other than the added row for the same attribute and for the same home.
31. The method of claim 30, further comprising presenting to a user at least two of the multiple values for the attribute and home contained by the first table.
32. The method of claim 30, further comprising applying to the multiple values for the attribute and home contained by the first table a value derivation rule to produce a derived value to use for the attribute and home.
33. The method of claim 32, further comprising using the derived value by presenting it to a user.
34. The method of claim 32, further comprising using the derived value by generating a valuation of the home that is based upon the derived value.
35. The method of claim 32 wherein the applied value derivation rule selects one of the multiple values for the attribute and home contained by the first table as the derived value.
36. The method of claim 35 wherein the applied value derivation rule applies an attribute value source authority precedents specify a relative level of authority to be attributed to each of a plurality of attribute value sources.
37. The method of claim 32 wherein the applied value derivation rule combines the multiple values for the attribute and home contained by the first table to produce the derived value.
US11/524,047 2006-09-19 2006-09-19 Collecting and representing home attributes Abandoned US20080077458A1 (en)

Priority Applications (5)

Application Number Priority Date Filing Date Title
US11/524,047 US20080077458A1 (en) 2006-09-19 2006-09-19 Collecting and representing home attributes
CNA2007103061948A CN101246485A (en) 2006-09-19 2007-09-19 Collecting and representing home attributes
AU2007216858A AU2007216858B2 (en) 2006-09-19 2007-09-19 Collecting and representing home attributes
EP07018380A EP1903491A1 (en) 2006-09-19 2007-09-19 Collecting and representing home attributes
US15/789,617 US11315202B2 (en) 2006-09-19 2017-10-20 Collecting and representing home attributes

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US11/524,047 US20080077458A1 (en) 2006-09-19 2006-09-19 Collecting and representing home attributes

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US201514852418A Continuation 2006-09-19 2015-09-11

Publications (1)

Publication Number Publication Date
US20080077458A1 true US20080077458A1 (en) 2008-03-27

Family

ID=38617299

Family Applications (2)

Application Number Title Priority Date Filing Date
US11/524,047 Abandoned US20080077458A1 (en) 2006-09-19 2006-09-19 Collecting and representing home attributes
US15/789,617 Active 2028-02-09 US11315202B2 (en) 2006-09-19 2017-10-20 Collecting and representing home attributes

Family Applications After (1)

Application Number Title Priority Date Filing Date
US15/789,617 Active 2028-02-09 US11315202B2 (en) 2006-09-19 2017-10-20 Collecting and representing home attributes

Country Status (4)

Country Link
US (2) US20080077458A1 (en)
EP (1) EP1903491A1 (en)
CN (1) CN101246485A (en)
AU (1) AU2007216858B2 (en)

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070185727A1 (en) * 2006-02-03 2007-08-09 Ma Brian C Automatically determining a current value for a real estate property, such as a home, that is tailored to input from a human user, such as its owner
US20070185906A1 (en) * 2006-02-03 2007-08-09 Stan Humphries Automatically determining a current value for a home
US20070198278A1 (en) * 2006-02-03 2007-08-23 David Cheng Automatically determining a current value for a real estate property, such as a home, that is tailored to input from a human user, such as its owner
US8140421B1 (en) 2008-01-09 2012-03-20 Zillow, Inc. Automatically determining a current value for a home
US8342928B1 (en) * 2007-06-01 2013-01-01 Realius, Inc. Market-based simulation game and system
US9934490B2 (en) 2015-12-29 2018-04-03 Setschedule Ip Holdings, Llc System and method for transacting lead and scheduled appointment records
US10198735B1 (en) 2011-03-09 2019-02-05 Zillow, Inc. Automatically determining market rental rate index for properties
US10380653B1 (en) 2010-09-16 2019-08-13 Trulia, Llc Valuation system
US10460406B1 (en) 2011-03-09 2019-10-29 Zillow, Inc. Automatically determining market rental rates for properties
US10643232B1 (en) 2015-03-18 2020-05-05 Zillow, Inc. Allocating electronic advertising opportunities
US10754884B1 (en) 2013-11-12 2020-08-25 Zillow, Inc. Flexible real estate search
US10789549B1 (en) 2016-02-25 2020-09-29 Zillow, Inc. Enforcing, with respect to changes in one or more distinguished independent variable values, monotonicity in the predictions produced by a statistical model
US10984489B1 (en) 2014-02-13 2021-04-20 Zillow, Inc. Estimating the value of a property in a manner sensitive to nearby value-affecting geographic features
US11093982B1 (en) 2014-10-02 2021-08-17 Zillow, Inc. Determine regional rate of return on home improvements
US11315202B2 (en) 2006-09-19 2022-04-26 Zillow, Inc. Collecting and representing home attributes
US11368541B2 (en) 2013-12-05 2022-06-21 Knowmadics, Inc. Crowd-sourced computer-implemented methods and systems of collecting and transforming portable device data
US11682052B2 (en) 2019-10-15 2023-06-20 Orchard Technologies, Inc. Machine learning systems and methods for determining home value

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9753950B2 (en) 2013-03-15 2017-09-05 Pictometry International Corp. Virtual property reporting for automatic structure detection
TW201523500A (en) * 2013-12-12 2015-06-16 shu-zhen Lin Method and device to record housing properties through computer
US10671648B2 (en) 2016-02-22 2020-06-02 Eagle View Technologies, Inc. Integrated centralized property database systems and methods
CN113515329B (en) * 2020-04-09 2024-01-30 北京字节跳动网络技术有限公司 Special effect attribute setting method and device

Citations (77)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4870576A (en) * 1986-03-19 1989-09-26 Realpro, Ltd. Real estate search and location system and method
US5361201A (en) * 1992-10-19 1994-11-01 Hnc, Inc. Real estate appraisal using predictive modeling
US5414621A (en) * 1992-03-06 1995-05-09 Hough; John R. System and method for computing a comparative value of real estate
US5680305A (en) * 1995-02-16 1997-10-21 Apgar, Iv; Mahlon System and method for evaluating real estate
US5857174A (en) * 1997-11-21 1999-01-05 Dugan; John W. Real estate appraisal method and device for standardizing real property marketing analysis by using pre-adjusted appraised comparable sales
US6115694A (en) * 1995-08-25 2000-09-05 General Electric Company Method for validating specified prices on real property
US6178406B1 (en) * 1995-08-25 2001-01-23 General Electric Company Method for estimating the value of real property
US6240425B1 (en) * 1997-12-31 2001-05-29 John Naughton Geographic search engine having independent selections of direction and distance from a relocatable hub
US20010039506A1 (en) * 2000-04-04 2001-11-08 Robbins Michael L. Process for automated real estate valuation
US20010044766A1 (en) * 1999-12-30 2001-11-22 Keyes Tim K. Methods and systems for modeling using classification and regression trees
US20020035520A1 (en) * 2000-08-02 2002-03-21 Weiss Allan N. Property rating and ranking system and method
US6401070B1 (en) * 1996-10-11 2002-06-04 Freddie Mac System and method for providing house price forecasts based on repeat sales model
US20020082903A1 (en) * 2000-06-22 2002-06-27 Seiichiro Yasuzawa Real estate net-market system
US20020087389A1 (en) * 2000-08-28 2002-07-04 Michael Sklarz Value your home
US20020184117A1 (en) * 2001-06-01 2002-12-05 Properties Online, Llc Method and system for advertising real estate over the internet
US20020198736A1 (en) * 2001-06-01 2002-12-26 Craig Harrison Identification, storage and display of land data on a website
US20030046211A1 (en) * 2001-09-06 2003-03-06 Shimon Brecher Computerized system and method for acquiring and analyzing data pertaining to real estate
US20030046099A1 (en) * 2001-09-06 2003-03-06 Lamont Ian Gordon Spatially-based valuation of property
US20030110122A1 (en) * 2001-12-07 2003-06-12 Nalebuff Barry J. Home equity insurance financial product
US6597983B2 (en) * 1996-08-22 2003-07-22 Wgrs Licensing Company, Llc Geographic location multiple listing service identifier and method of assigning and using the same
US20030139962A1 (en) * 2002-01-23 2003-07-24 Nobrega Francis H. Web based sevice request and approval system
US20030149658A1 (en) * 2002-02-06 2003-08-07 Radian Group, Inc. System for providing a warranty for the automated valuation of property
US6609118B1 (en) * 1999-06-21 2003-08-19 General Electric Company Methods and systems for automated property valuation
US20030187714A1 (en) * 2002-03-27 2003-10-02 Perry Victor A. Computer-based system and method for assessing and reporting on the scarcity of a product or service
US20030191723A1 (en) * 2002-03-28 2003-10-09 Foretich James Christopher System and method for valuing real property
US20030212565A1 (en) * 2002-05-08 2003-11-13 Badali Robert C. Appraisal and home inspection process
US20040019517A1 (en) * 2002-07-26 2004-01-29 Fidelity National Information Solutions, Inc. Method of establishing an insurable value estimate for a real estate property
US20040039629A1 (en) * 2002-05-23 2004-02-26 Kevin Hoffman Web based method and system for managing and transferring business information
US20040049440A1 (en) * 2002-09-11 2004-03-11 Masahiro Shinoda Real estate appraisal auxiliary system, a storage medium with a computer software program stored therein for use by a computer system to assist in appraising real estate, and a real estate appraisal auxiliary method
US20040073508A1 (en) * 2000-11-20 2004-04-15 Paul Foster Method and system for property valuation in an on-line computing environment
US6877015B1 (en) * 1998-09-04 2005-04-05 Microsoft Corporation System and method for dynamically adjusting data values in response to remote user input
US20050108084A1 (en) * 2003-08-08 2005-05-19 Sridhar Ramamoorti Methods and systems for valuing a business decision
US6915206B2 (en) * 2002-07-05 2005-07-05 Alpine Electronics, Inc. Map data distribution system and navigation apparatus
US20050154656A1 (en) * 2004-01-12 2005-07-14 Kim Christopher D.Y. Ranking comparable properties for appraisal
US20050154657A1 (en) * 2004-01-12 2005-07-14 Kim Christopher D.Y. Condition scoring for a property appraisal system
US20050171917A1 (en) * 2000-11-13 2005-08-04 Ebay Inc. Automated cross-cultural conflict management
US20050203768A1 (en) * 2000-10-23 2005-09-15 Florance Andrew C. System and method for associating aerial images, map features, and information
US20050240429A1 (en) * 2004-04-22 2005-10-27 Andrew Dieden Method for assembling, organizing, disseminating and managing information relating to real estate transactions
US20050288957A1 (en) * 2004-06-16 2005-12-29 David Eraker Web-based real estate mapping system
US20050288942A1 (en) * 2004-06-25 2005-12-29 First American Real Estate Solutions, L.P. Method and apparatus for valuing property
US20060015357A1 (en) * 2004-07-16 2006-01-19 First American Real Estate Solutions, L.P. Method and apparatus for spatiotemporal valuation of real estate
US20060020424A1 (en) * 2004-07-20 2006-01-26 Carl Quindel Apparatus and method for analyzing trends with values of interest
US20060085210A1 (en) * 2004-10-19 2006-04-20 Michael Owens System and method for facilitating like kind exchanges
US20060089842A1 (en) * 2004-10-22 2006-04-27 Medawar Cherif R System and method for finding, analyzing, controlling, timing and strategizing real estate investing online
US20060105342A1 (en) * 2004-08-31 2006-05-18 Mario Villena Computerized systems for formation and update of databases
US20060122918A1 (en) * 2004-12-08 2006-06-08 Benjamin Graboske Method and apparatus for testing automated valuation models
US20060129835A1 (en) * 1999-07-02 2006-06-15 Kimberly Ellmore System and method for single sign on process for websites with multiple applications and services
US20060167710A1 (en) * 2005-01-25 2006-07-27 King Martin T Method and system for registering potential acquirers of assets that are not currently on the market
US20060248555A1 (en) * 2000-09-08 2006-11-02 Prime Research Alliance E., Inc. Targeted advertising through electronic program guide
US20070005373A1 (en) * 2004-08-31 2007-01-04 Villena Mario A Computerized agent and systems for automatic searching of properties having favorable attributes
US20070043770A1 (en) * 2005-08-22 2007-02-22 Redfin Discovery method for buyers, sellers of real estate
US20070106523A1 (en) * 2005-11-07 2007-05-10 Eaton James M Information system and method for generating appraisal reports for real properties
US20070124235A1 (en) * 2005-11-29 2007-05-31 Anindya Chakraborty Method and system for income estimation
US20070143132A1 (en) * 2005-12-16 2007-06-21 Linne Mark R Automated valuation of a plurality of properties
US20070185906A1 (en) * 2006-02-03 2007-08-09 Stan Humphries Automatically determining a current value for a home
US20070185727A1 (en) * 2006-02-03 2007-08-09 Ma Brian C Automatically determining a current value for a real estate property, such as a home, that is tailored to input from a human user, such as its owner
US20070198278A1 (en) * 2006-02-03 2007-08-23 David Cheng Automatically determining a current value for a real estate property, such as a home, that is tailored to input from a human user, such as its owner
US7289965B1 (en) * 2001-08-10 2007-10-30 Freddie Mac Systems and methods for home value scoring
US20080097767A1 (en) * 2000-04-27 2008-04-24 Home Mart, Inc. Method and System for Providing Real Estate Information Using a Computer Network, Such as the Internet
US20080301064A1 (en) * 2006-10-05 2008-12-04 Burns James M System and Method for Determining a Real Estate Property Valuation
US20090043637A1 (en) * 2004-06-01 2009-02-12 Eder Jeffrey Scott Extended value and risk management system
US20090132316A1 (en) * 2000-10-23 2009-05-21 Costar Group, Inc. System and method for associating aerial images, map features, and information
US7567262B1 (en) * 2005-02-25 2009-07-28 IDV Solutions LLC Hybrid graphics for interactive reporting
US7725359B1 (en) * 2005-04-21 2010-05-25 Jennifer Katzfey Electronic realty systems and methods
US7783562B1 (en) * 2001-11-21 2010-08-24 Clayton Fixed Income Services Inc. Credit risk managing loan pools
US7788186B1 (en) * 2004-03-10 2010-08-31 Fannie Mae Method and system for automated property valuation adjustment
US7848966B2 (en) * 2000-08-11 2010-12-07 The Prudential Insurance Company Of America Method and system for managing real property transactions having internet access and control
US20110218937A1 (en) * 2010-03-03 2011-09-08 Jeremy Elser System and Methods for Management of Real Property
US8032401B2 (en) * 2007-07-18 2011-10-04 General Electric Company System and method to calculate procurement of assets
US8051089B2 (en) * 2003-04-30 2011-11-01 Hewlett-Packard Development Company, L.P. Systems and methods for location-based real estate service
US20120005111A2 (en) * 2008-03-06 2012-01-05 Lowenstein Douglas Financing of tenant improvements
US20120078770A1 (en) * 2003-06-28 2012-03-29 Radar Logic Incorporated Method for valuing forwards, futures and options on real estate
US8180697B2 (en) * 2007-01-31 2012-05-15 Paul Frischer Method of trading in real estate derivatives
US8190516B2 (en) * 2007-05-18 2012-05-29 Bank Of America Corporation Equity protection
US20120254045A1 (en) * 2004-11-30 2012-10-04 Michael Dell Orfano System and method for managing electronic real estate registry information
US8370267B2 (en) * 2004-10-14 2013-02-05 Carey Mead Consultants, Inc. System and method for appraiser-assisted valuation
US8660919B2 (en) * 2005-07-01 2014-02-25 Consumerinfo.Com, Inc. Method for monitoring and reporting changes in the value of real estate

Family Cites Families (145)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU1170295A (en) 1993-10-29 1995-05-22 Kevin L. Keithley Interactive multimedia communications system which accesses industry-specific information
US5592375A (en) 1994-03-11 1997-01-07 Eagleview, Inc. Computer-assisted system for interactively brokering goods or services between buyers and sellers
US5754850A (en) 1994-05-11 1998-05-19 Realselect, Inc. Real-estate method and apparatus for searching for homes in a search pool for exact and close matches according to primary and non-primary selection criteria
US5794216A (en) 1995-07-14 1998-08-11 Brown; Timothy Robert Methods and system for data acquisition in a multimedia real estate database
US5855011A (en) 1996-09-13 1998-12-29 Tatsuoka; Curtis M. Method for classifying test subjects in knowledge and functionality states
JP4044965B2 (en) 1996-12-20 2008-02-06 プリンストン ビデオ イメージ,インコーポレイティド Set-top device and method for inserting selected video into video broadcast
US6236977B1 (en) * 1999-01-04 2001-05-22 Realty One, Inc. Computer implemented marketing system
US6397208B1 (en) 1999-01-19 2002-05-28 Microsoft Corporation System and method for locating real estate in the context of points-of-interest
WO2000055771A1 (en) 1999-03-17 2000-09-21 Gioia Sandra L System for specifying building upgrade options and determining building cost
US6493721B1 (en) 1999-03-31 2002-12-10 Verizon Laboratories Inc. Techniques for performing incremental data updates
US6684196B1 (en) * 1999-07-07 2004-01-27 Ziprealty, Inc. Beginning-to-end online automation of real estate transactions
US6615187B1 (en) 2000-02-09 2003-09-02 Warren S. Ashenmil Method of securitizing and trading real estate brokerage options
US6871140B1 (en) 2000-02-25 2005-03-22 Costar Group, Inc. System and method for collection, distribution, and use of information in connection with commercial real estate
US9875492B2 (en) * 2001-05-22 2018-01-23 Dennis J. Dupray Real estate transaction system
US6618715B1 (en) 2000-06-08 2003-09-09 International Business Machines Corporation Categorization based text processing
US20040093270A1 (en) 2000-06-30 2004-05-13 Gilbert Hugh Heathcote Method and system for amplifying advertisements
US20020052814A1 (en) * 2000-07-10 2002-05-02 Ketterer Robert M. Virtual real estate brokage system
US20040054605A1 (en) 2000-07-18 2004-03-18 Whittet William Clayton Method and system for publishing a real estate listing through a global computer network
US20050154664A1 (en) * 2000-08-22 2005-07-14 Guy Keith A. Credit and financial information and management system
US7640204B2 (en) 2000-10-23 2009-12-29 Costar Group, Inc. System and method for collection, distribution, and use of information in connection with commercial real estate
US7174301B2 (en) 2000-10-23 2007-02-06 Costar Group, Inc. System and method for accessing geographic-based data
US7636687B2 (en) * 2000-11-20 2009-12-22 General Electric Capital Corporation Method and system for completing a lease for real property in an on-line computing environment
US7016866B1 (en) 2000-11-28 2006-03-21 Accenture Sdn. Bhd. System and method for assisting the buying and selling of property
US7523047B1 (en) 2000-12-20 2009-04-21 Demandtec, Inc. Price optimization system
AU2002254334A1 (en) 2001-03-22 2002-10-08 Michael Chung Methods and systems for electronic mail, internet target and direct marketing, and electronic mail banner
US7346519B2 (en) * 2001-04-10 2008-03-18 Metropolitan Regional Information Systems, Inc Method and system for MRIS platinum database
US20030004781A1 (en) 2001-06-18 2003-01-02 Mallon Kenneth P. Method and system for predicting aggregate behavior using on-line interest data
US20030115164A1 (en) 2001-07-31 2003-06-19 Bingchiang Jeng Neural network representation for system dynamics models, and its applications
US7711574B1 (en) 2001-08-10 2010-05-04 Federal Home Loan Mortgage Corporation (Freddie Mac) System and method for providing automated value estimates of properties as of a specified previous time period
JP4698093B2 (en) * 2001-09-14 2011-06-08 旭化成ホームズ株式会社 Real estate transaction support system
US20030101063A1 (en) 2001-09-28 2003-05-29 Sexton Ashley K. Real estate information system
US20030078878A1 (en) 2001-10-22 2003-04-24 Opsahl-Ong Lorinda R. Systems and methods for evaluating commercial real estate property using stochastic vacancy information
US8015091B1 (en) 2001-11-21 2011-09-06 Clayton Fixed Income Services, Inc. Analyzing investment data
US7136871B2 (en) 2001-11-21 2006-11-14 Microsoft Corporation Methods and systems for selectively displaying advertisements
US20030101074A1 (en) 2001-11-29 2003-05-29 Takeshi Suzuki System and method for evaluating real estate and the surrounding environment and visualizing the evaluation results
US7818219B2 (en) * 2001-12-27 2010-10-19 American Hungarian Technologies Inc. Electronic realty and transaction system and method therein
US6876955B1 (en) 2001-12-28 2005-04-05 Fannie Mae Method and apparatus for predicting and reporting a real estate value based on a weighted average of predicted values
US20110066510A1 (en) 2002-01-16 2011-03-17 Galip Talegon Methods for valuing and placing advertising
US7451065B2 (en) 2002-03-11 2008-11-11 International Business Machines Corporation Method for constructing segmentation-based predictive models
US8688461B1 (en) * 2002-03-29 2014-04-01 Fannie Mae Electronic registry for authenticating transferable records
US7389242B2 (en) * 2002-05-07 2008-06-17 Re3W Worldwide Limited Interactive processing of real estate transactions
US8234205B1 (en) * 2002-06-04 2012-07-31 Optnow Real Estate Corporation Method and system for establishing rights associated with property transactions
US8719041B2 (en) * 2002-06-10 2014-05-06 Ebay Inc. Method and system for customizing a network-based transaction facility seller application
US7870078B2 (en) * 2002-11-01 2011-01-11 Id Insight Incorporated System, method and computer program product for assessing risk of identity theft
US20040153330A1 (en) 2003-02-05 2004-08-05 Fidelity National Financial, Inc. System and method for evaluating future collateral risk quality of real estate
US20040220872A1 (en) 2003-04-29 2004-11-04 Pollock Frederick E. Lending based on an asset and securitization of loan interests
IL156392A0 (en) 2003-06-11 2004-01-04 Makor Issues & Rights Ltd A method and system for optimized real estate appraisal
US7908248B2 (en) 2003-07-22 2011-03-15 Sap Ag Dynamic meta data
US20050071376A1 (en) 2003-09-30 2005-03-31 Manoj Modi System and method of managing real property through a central database
US7464109B2 (en) 2003-09-30 2008-12-09 U-Haul International, Inc. System and method of compiling real property information from a central database
US20050187778A1 (en) 2004-02-20 2005-08-25 Guy Mitchell Method and system for estimating the value of real estate
US20050192930A1 (en) * 2004-02-27 2005-09-01 Terradatum, Inc. System and method of real estate data analysis and display to support business management
JP4330488B2 (en) 2004-05-12 2009-09-16 達實 小野 Heat treatment equipment using superheated steam
WO2006025830A1 (en) 2004-08-31 2006-03-09 Homexperts, Inc. System and method for updating value of a property
US20060080114A1 (en) 2004-10-07 2006-04-13 Real Soft Commercial Connection, Llc Method and system for providing real estate search information
WO2006043951A2 (en) 2004-10-19 2006-04-27 Network Real Estate Corporation System and method for facilitating like kind exchanges
US8386395B1 (en) 2005-04-28 2013-02-26 Federal Home Loan Mortgage Corporation (Freddie Mac) Systems and methods for modifying a loan
US7826965B2 (en) 2005-06-16 2010-11-02 Yahoo! Inc. Systems and methods for determining a relevance rank for a point of interest
US20070050342A1 (en) 2005-08-16 2007-03-01 Sami Inkinen Real estate listing and advertising system
US8311888B2 (en) 2005-09-14 2012-11-13 Jumptap, Inc. Revenue models associated with syndication of a behavioral profile using a monetization platform
WO2007033402A1 (en) 2005-09-19 2007-03-29 Property Ratings Pty Ltd Property rating and ranking system and method
FI20051118L (en) 2005-11-04 2007-05-05 Igglo Oy Method and system for providing an automated search service in the real estate market
US8099683B2 (en) 2005-12-08 2012-01-17 International Business Machines Corporation Movement-based dynamic filtering of search results in a graphical user interface
US20080086356A1 (en) 2005-12-09 2008-04-10 Steve Glassman Determining advertisements using user interest information and map-based location information
US7725477B2 (en) * 2005-12-19 2010-05-25 Microsoft Corporation Power filter for online listing service
JP4909360B2 (en) 2005-12-24 2012-04-04 リッチ メディア クラブ エルエルシィ System and method for creating, distributing and tracking advertisements via an electronic network
US20070244780A1 (en) 2006-03-26 2007-10-18 Liu Ralph Y Real estate derivative financial products, index design, trading methods, and supporting computer systems
US20070255581A1 (en) 2006-04-26 2007-11-01 Otto Jay P Online real estate marketplace
US20070265957A1 (en) 2006-05-10 2007-11-15 Asheesh Advani System and method for automated flexible person-to-person lending
US9031881B2 (en) 2006-06-30 2015-05-12 Corelogic Solutions, Llc Method and apparatus for validating an appraisal report and providing an appraisal score
US7860769B2 (en) * 2006-07-26 2010-12-28 Benson Tracey M Method of preventing fraud
US20080077458A1 (en) 2006-09-19 2008-03-27 Andersen Timothy J Collecting and representing home attributes
US20080109409A1 (en) 2006-11-08 2008-05-08 Ma Capital Lllp Brokering keywords in radio broadcasts
US20080133319A1 (en) 2006-11-30 2008-06-05 Oia Intellectuals, Inc. Method and apparatus of determining effect of price on distribution of time to sell real property
US8650067B1 (en) 2007-02-27 2014-02-11 Richard Moss Systems, methods, and computer program product for real estate value analysis
US20080255921A1 (en) 2007-04-11 2008-10-16 Microsoft Corporation Percentage based online advertising
US7827128B1 (en) 2007-05-11 2010-11-02 Aol Advertising Inc. System identification, estimation, and prediction of advertising-related data
US20080288335A1 (en) 2007-05-18 2008-11-20 Goldberg Neal J Home valuator
US7933798B1 (en) 2007-05-25 2011-04-26 Google Inc. Determining and displaying impression share to advertisers
US7856370B2 (en) 2007-06-15 2010-12-21 Saama Technologies, Inc. Method and system for displaying predictions on a spatial map
US8046306B2 (en) 2007-06-29 2011-10-25 Zaio Corporation System, method, and apparatus for property appraisals
US20100161471A1 (en) 2007-07-01 2010-06-24 Kerry Fendick Method and system for forecasting financial statements and analysis there of
US8219471B2 (en) 2007-07-05 2012-07-10 Alvi Abuaf Real estate appreciation contract
US20090030707A1 (en) 2007-07-23 2009-01-29 Yahoo! Inc. System and method of researching real estate
US20090043603A1 (en) 2007-08-09 2009-02-12 Sage Properties, Inc. Systems and methods for commercial real estate investment services
US20090076902A1 (en) 2007-09-17 2009-03-19 Yahoo! Inc. Advertising within address books
US20080015890A1 (en) 2007-09-28 2008-01-17 Krishna Malyala Method and apparatus for searching for real property
US20110066561A1 (en) 2009-07-28 2011-03-17 Lazarre Paul E Leveraged Usage of Information Regarding Real Estate Offerings
US20090254841A1 (en) 2007-11-12 2009-10-08 Move Sales, Inc. Apparatus, method, and computer program product for characterizing user-defined areas
US8341089B2 (en) 2007-11-29 2012-12-25 Ross Stores, Inc. Real estate management system and method
US8095434B1 (en) 2007-12-17 2012-01-10 Zillow, Inc. Automatically performing varying levels of summarization of geographic data points in response to a user's selection of zoom level
US8566327B2 (en) 2007-12-19 2013-10-22 Match.Com, L.L.C. Matching process system and method
US8140421B1 (en) 2008-01-09 2012-03-20 Zillow, Inc. Automatically determining a current value for a home
US20090210287A1 (en) 2008-02-18 2009-08-20 Microsoft Corporation Advertisement space allocation
US20090287596A1 (en) 2008-05-15 2009-11-19 Alex Henriquez Torrenegra Method, System, and Apparatus for Facilitating Transactions Between Sellers and Buyers for Travel Related Services
US8712908B2 (en) 2008-07-01 2014-04-29 Habitat Economics, LLC Home appreciation participation notes
US20100023379A1 (en) 2008-07-07 2010-01-28 HMVP Partners, LLC Method and system for determining real estate market value changes
US9141640B2 (en) 2008-07-09 2015-09-22 MLSListings, Inc. Methods and systems of advanced real estate searching
US20100076881A1 (en) 2008-09-19 2010-03-25 O'grady Thomas Liam Enhanced Valuation System and Method for Real Estate
US8583562B1 (en) 2008-10-01 2013-11-12 RealAgile, Inc. Predicting real estate and other transactions
US10380652B1 (en) 2008-10-18 2019-08-13 Clearcapital.Com, Inc. Method and system for providing a home data index model
US20100114678A1 (en) 2008-11-05 2010-05-06 Google Inc. Compensation Distribution Using Quality Score
US20100161498A1 (en) 2008-12-12 2010-06-24 First American Corelogic, Inc. Method, system and computer program product for creating a real estate pricing indicator and predicting real estate trends
US8407120B1 (en) 2008-12-29 2013-03-26 Federal Home Loan Mortgage Corporation (Freddie Mac) System and method for providing an adjusted weighted repeat sale index
US7962353B1 (en) 2009-04-20 2011-06-14 PriceLock Finance LLC Home resale price protection plan
US8442908B2 (en) 2009-06-12 2013-05-14 MCMCAP Partners, LLC Systems and methods for asset valuation
US20110071899A1 (en) 2009-07-08 2011-03-24 Niel Robertson Creating, Managing and Optimizing Online Advertising
US8401877B2 (en) 2009-08-05 2013-03-19 Qbe Holdings, Inc. Insurance claim processing
US20110047083A1 (en) 2009-08-18 2011-02-24 Lawler Rebecca J Computer system and method for negotiating a price of a rental property
US8478643B1 (en) 2009-10-12 2013-07-02 Google Inc. Optimal pricing and advertisement slot allocation
US8433512B1 (en) 2009-11-12 2013-04-30 Google Inc. Enhanced identification of interesting points-of-interest
US20110196762A1 (en) 2010-02-04 2011-08-11 Dupont David W Online user directed valuation model (udvm)
US20110218934A1 (en) 2010-03-03 2011-09-08 Jeremy Elser System and methods for comparing real properties for purchase and for generating heat maps to aid in identifying price anomalies of such real properties
US20110251974A1 (en) 2010-04-07 2011-10-13 Woodard Scott E System and method for utilizing sentiment based indicators in determining real property prices and days on market
US8458074B2 (en) 2010-04-30 2013-06-04 Corelogic Solutions, Llc. Data analytics models for loan treatment
US20120030092A1 (en) 2010-07-30 2012-02-02 Bank Of America Corporation Loan collateral equity tracker
US20120072357A1 (en) 2010-09-22 2012-03-22 Bradford Technologies, Inc. Method and system for predicting property values within discrete finite market elements
US8856028B2 (en) 2011-01-24 2014-10-07 Yahoo! Inc. Inventory allocation for advertising with changeable supply landscape
US8628151B1 (en) 2011-02-18 2014-01-14 Corelogic Solutions, Llc Systems and methods for facilitating financial transactions involving bundles of properties
US20150356576A1 (en) 2011-05-27 2015-12-10 Ashutosh Malaviya Computerized systems, processes, and user interfaces for targeted marketing associated with a population of real-estate assets
US20120330719A1 (en) 2011-05-27 2012-12-27 Ashutosh Malaviya Enhanced systems, processes, and user interfaces for scoring assets associated with a population of data
US20120311431A1 (en) 2011-05-31 2012-12-06 HomeFinder.com, LLC System and method for automatically generating a single property website
US20120323798A1 (en) 2011-06-17 2012-12-20 Fannie Mae Valuation of properties bordering specified geographic features
US20130041841A1 (en) 2011-08-11 2013-02-14 Revestor Llc Real Estate Investment System and Method of Controlling a Commercial System by Generating Key Investment Indicators
WO2013090784A1 (en) 2011-12-15 2013-06-20 Irick Robert Graham Methods for facilitating a real estate transaction
EP2823409A4 (en) 2012-03-04 2015-12-02 Adam Jeffries Data systems processing
US20130275252A1 (en) 2012-04-17 2013-10-17 Demeure Operating Company, Ltd. System and Method for Managing a Vacation Property Exchange Network
US9009610B2 (en) 2012-06-07 2015-04-14 Costar Group, Inc. Method and apparatus for managing real estate data
US10672088B2 (en) 2012-06-19 2020-06-02 Fannie Mae Automated valuation model with comparative value history information
US20140012720A1 (en) 2012-07-03 2014-01-09 William H. O'Kane Integrated property mortgage and property improvement loan application system and method
US20140257924A1 (en) 2013-03-08 2014-09-11 Corelogic Solutions, Llc Automated rental amount modeling and prediction
US9361274B2 (en) 2013-03-11 2016-06-07 International Business Machines Corporation Interaction detection for generalized linear models for a purchase decision
US20140279692A1 (en) 2013-03-12 2014-09-18 Brad A. Boothby Optimizing return on investment in real property
US20140316857A1 (en) 2013-04-22 2014-10-23 Lawrence Roberts Housing price estimator
US20140372203A1 (en) 2013-06-14 2014-12-18 Microsoft Corporation Quality-weighted second-price auctions for advertisements
US20150006311A1 (en) 2013-06-26 2015-01-01 Google Inc. Variable diversity filters for multiple position content auctions
US9582819B2 (en) 2013-09-26 2017-02-28 Greenfield Advisors, Llc Automated-valuation-model training-data optimization systems and methods
US10754884B1 (en) 2013-11-12 2020-08-25 Zillow, Inc. Flexible real estate search
US20150149275A1 (en) 2013-11-25 2015-05-28 Yahoo! Inc. Quasi-proportional allocation of combination items for serving in an online auction-based marketplace
WO2015130928A1 (en) 2014-02-26 2015-09-03 Nancy Packes, Inc. Real estate evaluating platform methods, apparatuses, and media
US20150269264A1 (en) 2014-03-20 2015-09-24 RealAnalogics, Inc. Interactive Real Estate Information Resource Systems And Methods
US9536011B1 (en) 2014-08-18 2017-01-03 Google Inc. Applying string matching algorithms to finding ad unit availability interval
US20160048934A1 (en) 2014-09-26 2016-02-18 Real Data Guru, Inc. Property Scoring System & Method
US20160171622A1 (en) 2014-12-15 2016-06-16 Loss of Use, Inc. Insurance Asset Verification and Claims Processing System
US10192275B2 (en) 2015-03-30 2019-01-29 Creed Smith Automated real estate valuation system

Patent Citations (83)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4870576A (en) * 1986-03-19 1989-09-26 Realpro, Ltd. Real estate search and location system and method
US5414621A (en) * 1992-03-06 1995-05-09 Hough; John R. System and method for computing a comparative value of real estate
US5361201A (en) * 1992-10-19 1994-11-01 Hnc, Inc. Real estate appraisal using predictive modeling
US5680305A (en) * 1995-02-16 1997-10-21 Apgar, Iv; Mahlon System and method for evaluating real estate
US6178406B1 (en) * 1995-08-25 2001-01-23 General Electric Company Method for estimating the value of real property
US6115694A (en) * 1995-08-25 2000-09-05 General Electric Company Method for validating specified prices on real property
US6597983B2 (en) * 1996-08-22 2003-07-22 Wgrs Licensing Company, Llc Geographic location multiple listing service identifier and method of assigning and using the same
US6401070B1 (en) * 1996-10-11 2002-06-04 Freddie Mac System and method for providing house price forecasts based on repeat sales model
US5857174A (en) * 1997-11-21 1999-01-05 Dugan; John W. Real estate appraisal method and device for standardizing real property marketing analysis by using pre-adjusted appraised comparable sales
US6240425B1 (en) * 1997-12-31 2001-05-29 John Naughton Geographic search engine having independent selections of direction and distance from a relocatable hub
US6877015B1 (en) * 1998-09-04 2005-04-05 Microsoft Corporation System and method for dynamically adjusting data values in response to remote user input
US6609118B1 (en) * 1999-06-21 2003-08-19 General Electric Company Methods and systems for automated property valuation
US20060129835A1 (en) * 1999-07-02 2006-06-15 Kimberly Ellmore System and method for single sign on process for websites with multiple applications and services
US20010044766A1 (en) * 1999-12-30 2001-11-22 Keyes Tim K. Methods and systems for modeling using classification and regression trees
US7120599B2 (en) * 1999-12-30 2006-10-10 Ge Capital Commercial Finance, Inc. Methods and systems for modeling using classification and regression trees
US20010039506A1 (en) * 2000-04-04 2001-11-08 Robbins Michael L. Process for automated real estate valuation
US20080097767A1 (en) * 2000-04-27 2008-04-24 Home Mart, Inc. Method and System for Providing Real Estate Information Using a Computer Network, Such as the Internet
US20020082903A1 (en) * 2000-06-22 2002-06-27 Seiichiro Yasuzawa Real estate net-market system
US20020035520A1 (en) * 2000-08-02 2002-03-21 Weiss Allan N. Property rating and ranking system and method
US7848966B2 (en) * 2000-08-11 2010-12-07 The Prudential Insurance Company Of America Method and system for managing real property transactions having internet access and control
US20020087389A1 (en) * 2000-08-28 2002-07-04 Michael Sklarz Value your home
US20060248555A1 (en) * 2000-09-08 2006-11-02 Prime Research Alliance E., Inc. Targeted advertising through electronic program guide
US20090132316A1 (en) * 2000-10-23 2009-05-21 Costar Group, Inc. System and method for associating aerial images, map features, and information
US7487114B2 (en) * 2000-10-23 2009-02-03 Costar Group, Inc. System and method for associating aerial images, map features, and information
US20050203768A1 (en) * 2000-10-23 2005-09-15 Florance Andrew C. System and method for associating aerial images, map features, and information
US20050171917A1 (en) * 2000-11-13 2005-08-04 Ebay Inc. Automated cross-cultural conflict management
US7130810B2 (en) * 2000-11-20 2006-10-31 General Electrical Capital Corp Method and system for property valuation in an on-line computing environment
US20040073508A1 (en) * 2000-11-20 2004-04-15 Paul Foster Method and system for property valuation in an on-line computing environment
US20020198736A1 (en) * 2001-06-01 2002-12-26 Craig Harrison Identification, storage and display of land data on a website
US20020184117A1 (en) * 2001-06-01 2002-12-05 Properties Online, Llc Method and system for advertising real estate over the internet
US7289965B1 (en) * 2001-08-10 2007-10-30 Freddie Mac Systems and methods for home value scoring
US7219078B2 (en) * 2001-09-06 2007-05-15 Causeway Data Communications Limited Spatially-based valuation of property
US20030046099A1 (en) * 2001-09-06 2003-03-06 Lamont Ian Gordon Spatially-based valuation of property
US20030046211A1 (en) * 2001-09-06 2003-03-06 Shimon Brecher Computerized system and method for acquiring and analyzing data pertaining to real estate
US7783562B1 (en) * 2001-11-21 2010-08-24 Clayton Fixed Income Services Inc. Credit risk managing loan pools
US20030110122A1 (en) * 2001-12-07 2003-06-12 Nalebuff Barry J. Home equity insurance financial product
US20030139962A1 (en) * 2002-01-23 2003-07-24 Nobrega Francis H. Web based sevice request and approval system
US20030149658A1 (en) * 2002-02-06 2003-08-07 Radian Group, Inc. System for providing a warranty for the automated valuation of property
US20030187714A1 (en) * 2002-03-27 2003-10-02 Perry Victor A. Computer-based system and method for assessing and reporting on the scarcity of a product or service
US20030191723A1 (en) * 2002-03-28 2003-10-09 Foretich James Christopher System and method for valuing real property
US20030212565A1 (en) * 2002-05-08 2003-11-13 Badali Robert C. Appraisal and home inspection process
US20040039629A1 (en) * 2002-05-23 2004-02-26 Kevin Hoffman Web based method and system for managing and transferring business information
US6915206B2 (en) * 2002-07-05 2005-07-05 Alpine Electronics, Inc. Map data distribution system and navigation apparatus
US20040019517A1 (en) * 2002-07-26 2004-01-29 Fidelity National Information Solutions, Inc. Method of establishing an insurable value estimate for a real estate property
US20040049440A1 (en) * 2002-09-11 2004-03-11 Masahiro Shinoda Real estate appraisal auxiliary system, a storage medium with a computer software program stored therein for use by a computer system to assist in appraising real estate, and a real estate appraisal auxiliary method
US8051089B2 (en) * 2003-04-30 2011-11-01 Hewlett-Packard Development Company, L.P. Systems and methods for location-based real estate service
US20120078770A1 (en) * 2003-06-28 2012-03-29 Radar Logic Incorporated Method for valuing forwards, futures and options on real estate
US20050108084A1 (en) * 2003-08-08 2005-05-19 Sridhar Ramamoorti Methods and systems for valuing a business decision
US20050154656A1 (en) * 2004-01-12 2005-07-14 Kim Christopher D.Y. Ranking comparable properties for appraisal
US20050154657A1 (en) * 2004-01-12 2005-07-14 Kim Christopher D.Y. Condition scoring for a property appraisal system
US7788186B1 (en) * 2004-03-10 2010-08-31 Fannie Mae Method and system for automated property valuation adjustment
US20050240429A1 (en) * 2004-04-22 2005-10-27 Andrew Dieden Method for assembling, organizing, disseminating and managing information relating to real estate transactions
US20090043637A1 (en) * 2004-06-01 2009-02-12 Eder Jeffrey Scott Extended value and risk management system
US20050288957A1 (en) * 2004-06-16 2005-12-29 David Eraker Web-based real estate mapping system
US20050288942A1 (en) * 2004-06-25 2005-12-29 First American Real Estate Solutions, L.P. Method and apparatus for valuing property
US20060015357A1 (en) * 2004-07-16 2006-01-19 First American Real Estate Solutions, L.P. Method and apparatus for spatiotemporal valuation of real estate
US20060020424A1 (en) * 2004-07-20 2006-01-26 Carl Quindel Apparatus and method for analyzing trends with values of interest
US20120158459A1 (en) * 2004-08-31 2012-06-21 Mario Villena Systems and methods for property information development distribution and display
US20060105342A1 (en) * 2004-08-31 2006-05-18 Mario Villena Computerized systems for formation and update of databases
US20070005373A1 (en) * 2004-08-31 2007-01-04 Villena Mario A Computerized agent and systems for automatic searching of properties having favorable attributes
US8370267B2 (en) * 2004-10-14 2013-02-05 Carey Mead Consultants, Inc. System and method for appraiser-assisted valuation
US20060085210A1 (en) * 2004-10-19 2006-04-20 Michael Owens System and method for facilitating like kind exchanges
US20060089842A1 (en) * 2004-10-22 2006-04-27 Medawar Cherif R System and method for finding, analyzing, controlling, timing and strategizing real estate investing online
US20120254045A1 (en) * 2004-11-30 2012-10-04 Michael Dell Orfano System and method for managing electronic real estate registry information
US8001024B2 (en) * 2004-12-08 2011-08-16 Corelogic Information Solutions, Inc. Method and apparatus for testing automated valuation models
US20060122918A1 (en) * 2004-12-08 2006-06-08 Benjamin Graboske Method and apparatus for testing automated valuation models
US20060167710A1 (en) * 2005-01-25 2006-07-27 King Martin T Method and system for registering potential acquirers of assets that are not currently on the market
US7567262B1 (en) * 2005-02-25 2009-07-28 IDV Solutions LLC Hybrid graphics for interactive reporting
US7725359B1 (en) * 2005-04-21 2010-05-25 Jennifer Katzfey Electronic realty systems and methods
US8660919B2 (en) * 2005-07-01 2014-02-25 Consumerinfo.Com, Inc. Method for monitoring and reporting changes in the value of real estate
US20070043770A1 (en) * 2005-08-22 2007-02-22 Redfin Discovery method for buyers, sellers of real estate
US20070106523A1 (en) * 2005-11-07 2007-05-10 Eaton James M Information system and method for generating appraisal reports for real properties
US20070124235A1 (en) * 2005-11-29 2007-05-31 Anindya Chakraborty Method and system for income estimation
US20070143132A1 (en) * 2005-12-16 2007-06-21 Linne Mark R Automated valuation of a plurality of properties
US20070185906A1 (en) * 2006-02-03 2007-08-09 Stan Humphries Automatically determining a current value for a home
US20070198278A1 (en) * 2006-02-03 2007-08-23 David Cheng Automatically determining a current value for a real estate property, such as a home, that is tailored to input from a human user, such as its owner
US20070185727A1 (en) * 2006-02-03 2007-08-09 Ma Brian C Automatically determining a current value for a real estate property, such as a home, that is tailored to input from a human user, such as its owner
US20080301064A1 (en) * 2006-10-05 2008-12-04 Burns James M System and Method for Determining a Real Estate Property Valuation
US8180697B2 (en) * 2007-01-31 2012-05-15 Paul Frischer Method of trading in real estate derivatives
US8190516B2 (en) * 2007-05-18 2012-05-29 Bank Of America Corporation Equity protection
US8032401B2 (en) * 2007-07-18 2011-10-04 General Electric Company System and method to calculate procurement of assets
US20120005111A2 (en) * 2008-03-06 2012-01-05 Lowenstein Douglas Financing of tenant improvements
US20110218937A1 (en) * 2010-03-03 2011-09-08 Jeremy Elser System and Methods for Management of Real Property

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Redfin, https://web.archive.org/web/20060907212454/http://www.redfin.com/stingray/do/terms-of-use?rt=fn-tl, Wayback Machine September 7, 2006 *

Cited By (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070185727A1 (en) * 2006-02-03 2007-08-09 Ma Brian C Automatically determining a current value for a real estate property, such as a home, that is tailored to input from a human user, such as its owner
US20070185906A1 (en) * 2006-02-03 2007-08-09 Stan Humphries Automatically determining a current value for a home
US20070198278A1 (en) * 2006-02-03 2007-08-23 David Cheng Automatically determining a current value for a real estate property, such as a home, that is tailored to input from a human user, such as its owner
US7970674B2 (en) 2006-02-03 2011-06-28 Zillow, Inc. Automatically determining a current value for a real estate property, such as a home, that is tailored to input from a human user, such as its owner
US11244361B2 (en) 2006-02-03 2022-02-08 Zillow, Inc. Automatically determining a current value for a home
US8515839B2 (en) 2006-02-03 2013-08-20 Zillow, Inc. Automatically determining a current value for a real estate property, such as a home, that is tailored to input from a human user, such as its owner
US8676680B2 (en) 2006-02-03 2014-03-18 Zillow, Inc. Automatically determining a current value for a home
US10896449B2 (en) 2006-02-03 2021-01-19 Zillow, Inc. Automatically determining a current value for a real estate property, such as a home, that is tailored to input from a human user, such as its owner
US11769181B2 (en) 2006-02-03 2023-09-26 Mftb Holdco. Inc. Automatically determining a current value for a home
US10074111B2 (en) 2006-02-03 2018-09-11 Zillow, Inc. Automatically determining a current value for a home
US11315202B2 (en) 2006-09-19 2022-04-26 Zillow, Inc. Collecting and representing home attributes
US8342928B1 (en) * 2007-06-01 2013-01-01 Realius, Inc. Market-based simulation game and system
US11449958B1 (en) 2008-01-09 2022-09-20 Zillow, Inc. Automatically determining a current value for a home
US9605704B1 (en) 2008-01-09 2017-03-28 Zillow, Inc. Automatically determining a current value for a home
US8140421B1 (en) 2008-01-09 2012-03-20 Zillow, Inc. Automatically determining a current value for a home
US10380653B1 (en) 2010-09-16 2019-08-13 Trulia, Llc Valuation system
US11727449B2 (en) 2010-09-16 2023-08-15 MFTB Holdco, Inc. Valuation system
US10460406B1 (en) 2011-03-09 2019-10-29 Zillow, Inc. Automatically determining market rental rates for properties
US10198735B1 (en) 2011-03-09 2019-02-05 Zillow, Inc. Automatically determining market rental rate index for properties
US11068911B1 (en) 2011-03-09 2021-07-20 Zillow, Inc. Automatically determining market rental rate index for properties
US11288756B1 (en) 2011-03-09 2022-03-29 Zillow, Inc. Automatically determining market rental rates for properties
US10754884B1 (en) 2013-11-12 2020-08-25 Zillow, Inc. Flexible real estate search
US11232142B2 (en) 2013-11-12 2022-01-25 Zillow, Inc. Flexible real estate search
US11368541B2 (en) 2013-12-05 2022-06-21 Knowmadics, Inc. Crowd-sourced computer-implemented methods and systems of collecting and transforming portable device data
US11381650B2 (en) 2013-12-05 2022-07-05 Knowmadics, Inc. System and server for analyzing and integrating data collected by an electronic device
US11799980B2 (en) 2013-12-05 2023-10-24 Knowmadics, Inc. Crowd-sourced computer-implemented methods and systems of collecting and transforming portable device data
US10984489B1 (en) 2014-02-13 2021-04-20 Zillow, Inc. Estimating the value of a property in a manner sensitive to nearby value-affecting geographic features
US11093982B1 (en) 2014-10-02 2021-08-17 Zillow, Inc. Determine regional rate of return on home improvements
US11354701B1 (en) 2015-03-18 2022-06-07 Zillow, Inc. Allocating electronic advertising opportunities
US10643232B1 (en) 2015-03-18 2020-05-05 Zillow, Inc. Allocating electronic advertising opportunities
US10650354B2 (en) 2015-12-29 2020-05-12 Setschedule Ip Holdings, Llc System and method for transacting lead and scheduled appointment records
US9934490B2 (en) 2015-12-29 2018-04-03 Setschedule Ip Holdings, Llc System and method for transacting lead and scheduled appointment records
US10789549B1 (en) 2016-02-25 2020-09-29 Zillow, Inc. Enforcing, with respect to changes in one or more distinguished independent variable values, monotonicity in the predictions produced by a statistical model
US11886962B1 (en) 2016-02-25 2024-01-30 MFTB Holdco, Inc. Enforcing, with respect to changes in one or more distinguished independent variable values, monotonicity in the predictions produced by a statistical model
US11682052B2 (en) 2019-10-15 2023-06-20 Orchard Technologies, Inc. Machine learning systems and methods for determining home value
US11769180B2 (en) 2019-10-15 2023-09-26 Orchard Technologies, Inc. Machine learning systems and methods for determining home value

Also Published As

Publication number Publication date
US11315202B2 (en) 2022-04-26
CN101246485A (en) 2008-08-20
US20180260918A1 (en) 2018-09-13
AU2007216858A1 (en) 2008-04-03
EP1903491A1 (en) 2008-03-26
AU2007216858B2 (en) 2009-04-23

Similar Documents

Publication Publication Date Title
US11315202B2 (en) Collecting and representing home attributes
Iannacchione The changing role of address-based sampling in survey research
US20090217199A1 (en) Information Retrieving and Displaying Method and Computer-Readable Medium
US20120173971A1 (en) System and method for publishing information and content
US20140006201A1 (en) Method and apparatus for competitive solicitation and bidding
JP2006228229A (en) Intellectual property management system
US20140279591A1 (en) Network-based real estate marketplace database and location-based matching
US20080172393A1 (en) System and Method for Public Access and Control of MLS Data
WO2006002179A2 (en) Evaluating the relevance of documents and systems and methods therefor
US20050091218A1 (en) System and process providing remote data capture with later upload to a real estate multiple listing service
Smith New-Model Scholarship: How Will It Survive? Optimizing Collections and Services for Scholarly Use.
Amaya et al. Improving the utility of the DSF address-based frame through ancillary information
US20040243484A1 (en) System and method for facilitating customs compliance in the importation of merchandise
US10410179B2 (en) System and method of global electronic job market in the internet
English et al. The construction, maintenance, and enhancement of address-based sampling frames
CN109905319B (en) Method and device for generating mail data
Bültmann et al. Digitized content in the UK research library and archives sector
JP6943669B2 (en) Business card information management system, business card information management device, business card information management method and program
Carpinone Museum collections management systems: one size does not fit all
US20130097055A1 (en) Methods and systems for transferring liquor licenses
Dalmau et al. “Reports of My Death Are Greatly Exaggerated”: Findings from the TEI in Libraries Survey
CN116431686B (en) Training data query method and system based on heterogeneous archives
US20220358608A1 (en) System and method for processing discovery documents in a legal industry
US11769196B2 (en) System and method for a fast rental application
Lowatcharin et al. A Survey of Information Disclosure and E-Services Provided by Municipalities in Thailand

Legal Events

Date Code Title Description
AS Assignment

Owner name: ZILLOW, INC., WASHINGTON

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:ANDERSEN, TIMOTHY J.;SADAGHIANI, FRED F.;MCNAMEE, STEPHEN M.;AND OTHERS;REEL/FRAME:018877/0410;SIGNING DATES FROM 20070207 TO 20070208

AS Assignment

Owner name: SILICON VALLEY BANK, CALIFORNIA

Free format text: SECURITY AGREEMENT;ASSIGNOR:ZILLOW, INC.;REEL/FRAME:028169/0881

Effective date: 20120430

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION