CA2660461C - Systems and methods for measuring user affinity in a social network environment - Google Patents
Systems and methods for measuring user affinity in a social network environment Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/08—Auctions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0269—Targeted advertisements based on user profile or attribute
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/52—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail for supporting social networking services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/2866—Architectures; Arrangements
- H04L67/30—Profiles
- H04L67/306—User profiles
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/535—Tracking the activity of the user
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
- H04L67/63—Routing a service request depending on the request content or context
Abstract
A system and method for measuring user affinity in a social network environment is provided. One or more activities performed by a user associated with a social network environment are monitored. A relationship associated with the one or more activities is identified. An affinity for one or more objects associated with the social network environment is then determined based on the one or more activities and the relationship.
Description
SYSTEMS AND METHODS FOR MEASURING USER AFFINITY IN A
SOCIAL NETWORK ENVIRONMENT
By: Andrew Bosworth Chris Cox BACKGROUND OF THE INVENTION
Field of the Invention [001] The present invention relates generally to social networking, and more particularly to systems and methods for measuring user affinity in a social network environment.
Description of Related Art
SOCIAL NETWORK ENVIRONMENT
By: Andrew Bosworth Chris Cox BACKGROUND OF THE INVENTION
Field of the Invention [001] The present invention relates generally to social networking, and more particularly to systems and methods for measuring user affinity in a social network environment.
Description of Related Art
[002] Conventionally, a user of a social networking website connects with other users by providing information about the user to the social network website for access by other users. For example, a user may post contact information, background information, current job position, hobbies, and so forth. Other users may review this information by browsing through profiles or entering keyword(s) into an internal search engine that searches the social networking site for profiles containing the keyword(s).
[003] Recently, social networking websites have developed systems for better connecting users to the content most relevant to each particular user. For example, users may be grouped together in one or more groupings based on any common factor listed in their profile, such as geographical location, employer, job type, music preferences, and so forth.
Parties within and outside of the social networking website utilize these groupings to target information that would be of interest to that particular community. For example, a social networking site may display banner ads advertising a concert too all users who list the performing band on their
Parties within and outside of the social networking website utilize these groupings to target information that would be of interest to that particular community. For example, a social networking site may display banner ads advertising a concert too all users who list the performing band on their
4 profile. As social networking has grown more popular, however, users and the information they provide on their profiles has greatly increased.
Consequently, users are often inundated with information that is not necessarily the most relevant to a particular user.
SUMMARY OF THE INVENTION
[004] A system and method for measuring user affinity in a social network environment. One or more activities performed by a user associated with a social network environment are monitored. A relationship associated with the one or more activities is identified. An affinity for one or more objects associated with the social network environment is then determined based on the one or more activities and the relationship.
[004a] Accordingly, in one aspect there is provided a non transitory computer readable storage medium embodying instructions for:
receiving by a social networking system information related to one or more actions performed by one or more entities;
generating one or more stories, wherein each of the one or more stories comprises a description of at least one action and an identification of at least one entity that performed the action;
determining, by a process running on a social networking system, a user's affinity for each of a plurality of the stories based at least in part on:
(1) the user's affinity for an entity identified in the story, and (2) an action described in the story;
comparing the determined user's affinities for the plurality of stories;
selecting one or more stories for the user based at least in part on the comparing of the determined user's affinities for the plurality of stories; and transmitting the selected one or more stories for display to the user.
[004b] According to yet another aspect there is provided a system comprising:
a processor;
a recording module configured to cause the processor to record one or more actions performed by one or more entities;
an affinity engine coupled to the recording module, the affinity engine configured to cause the processor to:
generate one or more stories, wherein each of the one or more stories comprises information related to at least one recorded action and an identification of at least one entity that performed the recorded action, determine, by a process running on a social networking system, a user's affinity for each of a plurality of the stories based at least in part on:
(1) the user's affinity for an entity identified by the story, and (2) an action described in the story, compare the determined user's affinities for the plurality of stories, select one or more stories for the user based at least in part on the comparing of the determined user's affinities for the plurality of stories; and a transmission engine configured to cause the processor to transmit the selected stories for display to the user.
[004c] According to another aspect there is provided a computer-implemented method comprising:
receiving by a social networking system information related to one or more actions performed by one or more entities;
generating one or more stories, wherein each of the one or more stories comprises a description of at least one action and an identification of at least one entity that performed the action;
determining, by a process running on a social networking system, a user's affinity for each of a plurality of the stories based at least in part on:
(1) the user's affinity for an entity identified in the story, and (2) an action described in the story;
comparing the determined user's affinities for the plurality of stories;
selecting one or more stories for the user based at least in part on the comparing of the determined user's affinities for the plurality of stories; and transmitting the selected one or more stories for display to the user.
3a BRIEF DESCRIPTION OF THE DRAWINGS
Consequently, users are often inundated with information that is not necessarily the most relevant to a particular user.
SUMMARY OF THE INVENTION
[004] A system and method for measuring user affinity in a social network environment. One or more activities performed by a user associated with a social network environment are monitored. A relationship associated with the one or more activities is identified. An affinity for one or more objects associated with the social network environment is then determined based on the one or more activities and the relationship.
[004a] Accordingly, in one aspect there is provided a non transitory computer readable storage medium embodying instructions for:
receiving by a social networking system information related to one or more actions performed by one or more entities;
generating one or more stories, wherein each of the one or more stories comprises a description of at least one action and an identification of at least one entity that performed the action;
determining, by a process running on a social networking system, a user's affinity for each of a plurality of the stories based at least in part on:
(1) the user's affinity for an entity identified in the story, and (2) an action described in the story;
comparing the determined user's affinities for the plurality of stories;
selecting one or more stories for the user based at least in part on the comparing of the determined user's affinities for the plurality of stories; and transmitting the selected one or more stories for display to the user.
[004b] According to yet another aspect there is provided a system comprising:
a processor;
a recording module configured to cause the processor to record one or more actions performed by one or more entities;
an affinity engine coupled to the recording module, the affinity engine configured to cause the processor to:
generate one or more stories, wherein each of the one or more stories comprises information related to at least one recorded action and an identification of at least one entity that performed the recorded action, determine, by a process running on a social networking system, a user's affinity for each of a plurality of the stories based at least in part on:
(1) the user's affinity for an entity identified by the story, and (2) an action described in the story, compare the determined user's affinities for the plurality of stories, select one or more stories for the user based at least in part on the comparing of the determined user's affinities for the plurality of stories; and a transmission engine configured to cause the processor to transmit the selected stories for display to the user.
[004c] According to another aspect there is provided a computer-implemented method comprising:
receiving by a social networking system information related to one or more actions performed by one or more entities;
generating one or more stories, wherein each of the one or more stories comprises a description of at least one action and an identification of at least one entity that performed the action;
determining, by a process running on a social networking system, a user's affinity for each of a plurality of the stories based at least in part on:
(1) the user's affinity for an entity identified in the story, and (2) an action described in the story;
comparing the determined user's affinities for the plurality of stories;
selecting one or more stories for the user based at least in part on the comparing of the determined user's affinities for the plurality of stories; and transmitting the selected one or more stories for display to the user.
3a BRIEF DESCRIPTION OF THE DRAWINGS
[005] FIG. 1 illustrates a schematic diagram of an exemplary environment for measuring user affinity in a social network environment;
[006] FIG. 2 illustrates a schematic diagram of an exemplary social network provider;
[007] FIG. 3 illustrates a schematic diagram of an exemplary affinity engine;
[008] FIG. 4 illustrates an exemplary screen shot of one or more items of media displayed to a user based on user affinity; and
[009] FIG. 5 illustrates a flow diagram of an exemplary process for measuring user affinity in a social network environment.
DETAILED DESCRIPTION
DETAILED DESCRIPTION
[0010] A system and method for measuring user affinity in a social network environment is provided. The user affinity may be measured by utilizing relationships the user has with other users. The user affinity may also be measured by monitoring the user's interaction with content, such as stories, headlines, or other user's profiles, and/or the user's interaction with other users, directly, such as emails to other users. The user affinity may be utilized to generate media for the user about other users, such as stories about other users with which the user has a relationship.
100111 FIG. 1 illustrates a schematic diagram of an exemplary environment for measuring user affinity in a social network environment.
One or more users, such as a user at a user device 102, are coupled to a social network provider 106 via a network 104.
[00121 The social network provider 106 may comprise any user or entity that provides social networking services, communication services, dating services, and so forth. For example, the social network provider 106 may host a website that allows two or more users, such as the user at the user device 102, to communicate with one another via the website. In one instance, a first user associated with the user device 102 may communicate with one or more second users associated with one or more second user devices via a social networking website associated with the social network provider 106.
The social networking website offers the user an opportunity to connect or reconnect with the one or more second users who attended, for example, the same university as the user.
[0013] An affinity engine 108 is coupled to the social network provider 106. The affinity engine 108 utilizes data, such as data about one or more users, to measure the users' affinity for one or more items of media or any other content. According to some embodiments, the user device 102 may be directly coupled to the affinity engine 108. According to other embodiments, the affinity engine 108 comprises a module associated with the social network provider 106.
[0014] Referring now to FIG. 2, a schematic diagram of an exemplary social network provider, such as the social network provider 106 discussed in FIG. 1, is shown. A profile database 202 is provided for storing data associated with each of the users, such as the user associated with the user device 102. When a user subscribes to services provided by the social network provider 106, a user profile may be generated for the user. For example, the user may select privacy settings, provide contact information, or group other users according to one or more categories. When the user adds additional information to the user profile, such as adding additional contacts, the user profile in the profile database 202 may be updated with the information added. The user profile may be stored, modified, added, and so forth to any storage medium.
100151 According to some embodiments, the user profile is created outside of the social network environment and provided to or accessed by the social network provider 106. Alternatively, the profile database 202 may be located remotely and accessed by the social network provider 106.
[0016] The social network provider 106 includes a communications interface .204 for communicating with the users, such as via the user device 102 described herein, over the network 104. The user device 102 communicates various types of information, such as privacy settings selections, groupings of other users, and so forth, to the social network provider 106 via the communications interface 204. Any type of communications interface 204 is within the scope of various embodiments.
[0017] A monitoring module 206 tracks one or more user activities on the social networking website. For example, the monitoring module 206 can track user interaction with one or more items of media, such as news stories, other users' profiles, email to other users, chat rooms provided via the social network provider 106, and so forth. Any type of user activity can be tracked or monitored via the monitoring module 206. The information, people, groups, stories, and so forth, with which the user interacts, may be represented by one or more objects, according to exemplary embodiments.
[0018] A relationship the user has with one or more other users may be defined according to the user's profile and/or according to other users with which the monitoring module 206 detects user interaction. For example, a particular user may define a relationship with his wife or a friend in the particular user's profile. However, a relationship may also be defined by the social network provider 106 when the particular user interacts with one or more other users that share a common interest in a musical band, for instance.
Further, a strength of the relationship defined in the particular user's profile, such as wife or friend, may be updated or adjusted according to how often the particular user interacts with the wife or the friend, for example.
[0019] A display engine/GUI 208 may also be provided by the social network provider 106. The display engine/GUI 208 displays the one or more items of media, profile information, and so forth to the users. The users can interact with the social network provider 106 via the display engine/GUI 208.
For example, the users can select privacy settings, access their own user profile, access other users' information available via the social network = provider, and so forth via the display engine/GUI 208.
[0020] A relationship database 210 is provided for storing relationship data about each user. The user can specify relationships with one or more other users via the user profile, or by any other means. The user can assign categories, groups, networks, and so forth to the one or more other users with which the user has a relationship. The relationship, for example, may specify that a user is a family member, schoolmate, ex-girlfriend, and so forth. Any type of relationship may be specified.
[0021] According to some embodiments, the social network provider 106 may determine a relationship for the user. For example, if the user establishes communications with another user interested in Woody Allen movies, the social network provider 106 may assign the relationship of fellow Woody Allen movie fan. The social network provider 106 may inquire whether or not the user wants to add the other user as a fellow Woody Allen fan, in one instance. Alternatively, the social network provider 106 may utilize a common interest in Woody Allen movies as a variable to measure user affinity, without inquiring whether the user wants to add the other user to the user's profile, according to some embodiments.
[0022] A relationship may be assigned based on the user's interaction with other users or with any type of content. The user may have more than one relationship with other users or with content, according to exemplary embodiments. For example, the user's brother qualifies as one type of relationship, while the fact that the user's brother attended the same university as the user may qualify as another relationship. Any number of .
relationships may be established for each user and/or for each activity performed by the user in the social network environment.
[0023] According to exemplary embodiments, one or more networks may be provided for each user. For example, the user may have a network comprised of people grouped according to a university attended, a network comprised of people grouped according to the user's geographical location of residence, a network comprised of people grouped according to a common field of work, a network comprised of people grouped according to a particular business, and so forth. As discussed herein, a common network may establish a relationship between the user and other users in the common network, for example.
[00241 Any type of network may be provided by the social network provider 106. In other words, a network may comprise people grouped according to any type of category, such as various social networks described herein, like "friends", "geographical location", and so forth. The user may specify the networks, the categories, subcategories, and so forth and/or the networks, the categories, the subcategories, and so on may be predetermined by the social network provider 106. The networks, the categories, the subcategories, and so forth may comprise a relationship with the user, as discussed herein, but do not necessarily comprise the only relationship the user has with the other users.
C00251 Although the social network provider 106 is described as being comprised of various components (the profile database 202, the communications interface 204, the monitoring module 206, the display engine/GUI 208, and the relationship database 210), fewer or more components may comprise the social network provider 106 and still fall within the scope of various embodiments.
[00261 FIG. 3 illustrates a schematic diagram of an exemplary affinity engine. A user activity analyzer component 302 accesses the one or more user activities detected by the monitoring module 206. The user activity analyzer component 302 analyzes the user activities to determine whether one or more of the activities indicate an affinity for subject matter, content, other users, and so forth. Optionally, the user activities may be stored in a user activity storage medium (not shown) associated with the affinity engine 108 and/or the social network provider 106.
100271 An affinity assignment component 304 can access data from the relationship database 210 and from the user activity analyzer component 302 to assign an affinity rating and/or weight to subject matter, other users, and so forth, for each user. For example, a particular user's wife is assigned a rating based on a spousal relationship with the particular user, while the particular user's brother receives a different rating based on a sibling relationship. The user activity may be weighted differently from the user relationship. For example, the rating assigned to a user activity may comprise sixty percent (60%) of the overall affinity, while the relationship associated with the user activity comprises the other forty percent (40%) of the overall affinity determined for the user. The weights may be static or the weights may change according to a type of relationship, a type of user activity, and so forth.
[0028] Based on the one or more user activities and the relationships, an overall affinity for past, present, or future content can be determined by the affinity assignment component 304. According to exemplary embodiments, a particular user activity is assigned both a rating and a weight while a relationship associated with the particular user activity is assigned a rating and a correlating weight (e.g., so the weights total 100%).
The ratings may be combined according to their weights to determine an overall affinity for the user. For example, a particular user may receive content associated with the particular user's wife as a lower priority than content associated with the particular user's brother because although the particular user's wife has a higher rated relationship, the particular user accesses content about his brother more often. Depending upon the weights assigned to the activities and relationships for the particular user, the overall affinity may be determined to be higher for content about the user's brother than for content about the user's wife, in one instance. Any type of variables, such as time since information was accessed, frequency of access, relationship to person about which information was accessed, relationship to person sharing common interests in information accessed, relationship with the actual information accessed, and so forth, may be considered when assigning ratings and weights to the activities performed by the user and the relationships associated with the activities.
According to exemplary embodiments, an overall affinity for the user for each user, subject matter, type of content, and so forth may be established. The overall affinity may change based on continued monitoring of the user's activities or the overall affinity may be utilized to establish ratings for activities and/or relationships.
10030] The weights and/or the ratings may vary for the one or more user activities and for the relationships associated with the one or more user activities, as discussed herein. According to exemplary embodiments, a user activity is assigned an initial rating that is adjusted according to the rating and the affinity weight assigned to the relationship data associated with the user activity. Any type of process may be employed for assigning, combining, averaging, and so forth the ratings and the weights assigned to the one or more user activities and the relationships associated with the one or more user activities. As discussed herein, user activities may be utilized as feedback for adjusting ratings and weights assigned to the user activities and/or the relationships associated with the user activities. For example, the user's relationship with an existing girlfriend may rate higher than a relationship rating with the user's ex-girlfriend, but the affinity weight for the ex-girlfriend may be higher based on the number of times the user has accessed one or more items of media or other content about the ex-girlfriend in the past month.
100311 Any type of overall affinity may be determined utilizing any number of variables representative of activities and relationships, such as statistical metrics, long term averages of user interactions, short term averages
100111 FIG. 1 illustrates a schematic diagram of an exemplary environment for measuring user affinity in a social network environment.
One or more users, such as a user at a user device 102, are coupled to a social network provider 106 via a network 104.
[00121 The social network provider 106 may comprise any user or entity that provides social networking services, communication services, dating services, and so forth. For example, the social network provider 106 may host a website that allows two or more users, such as the user at the user device 102, to communicate with one another via the website. In one instance, a first user associated with the user device 102 may communicate with one or more second users associated with one or more second user devices via a social networking website associated with the social network provider 106.
The social networking website offers the user an opportunity to connect or reconnect with the one or more second users who attended, for example, the same university as the user.
[0013] An affinity engine 108 is coupled to the social network provider 106. The affinity engine 108 utilizes data, such as data about one or more users, to measure the users' affinity for one or more items of media or any other content. According to some embodiments, the user device 102 may be directly coupled to the affinity engine 108. According to other embodiments, the affinity engine 108 comprises a module associated with the social network provider 106.
[0014] Referring now to FIG. 2, a schematic diagram of an exemplary social network provider, such as the social network provider 106 discussed in FIG. 1, is shown. A profile database 202 is provided for storing data associated with each of the users, such as the user associated with the user device 102. When a user subscribes to services provided by the social network provider 106, a user profile may be generated for the user. For example, the user may select privacy settings, provide contact information, or group other users according to one or more categories. When the user adds additional information to the user profile, such as adding additional contacts, the user profile in the profile database 202 may be updated with the information added. The user profile may be stored, modified, added, and so forth to any storage medium.
100151 According to some embodiments, the user profile is created outside of the social network environment and provided to or accessed by the social network provider 106. Alternatively, the profile database 202 may be located remotely and accessed by the social network provider 106.
[0016] The social network provider 106 includes a communications interface .204 for communicating with the users, such as via the user device 102 described herein, over the network 104. The user device 102 communicates various types of information, such as privacy settings selections, groupings of other users, and so forth, to the social network provider 106 via the communications interface 204. Any type of communications interface 204 is within the scope of various embodiments.
[0017] A monitoring module 206 tracks one or more user activities on the social networking website. For example, the monitoring module 206 can track user interaction with one or more items of media, such as news stories, other users' profiles, email to other users, chat rooms provided via the social network provider 106, and so forth. Any type of user activity can be tracked or monitored via the monitoring module 206. The information, people, groups, stories, and so forth, with which the user interacts, may be represented by one or more objects, according to exemplary embodiments.
[0018] A relationship the user has with one or more other users may be defined according to the user's profile and/or according to other users with which the monitoring module 206 detects user interaction. For example, a particular user may define a relationship with his wife or a friend in the particular user's profile. However, a relationship may also be defined by the social network provider 106 when the particular user interacts with one or more other users that share a common interest in a musical band, for instance.
Further, a strength of the relationship defined in the particular user's profile, such as wife or friend, may be updated or adjusted according to how often the particular user interacts with the wife or the friend, for example.
[0019] A display engine/GUI 208 may also be provided by the social network provider 106. The display engine/GUI 208 displays the one or more items of media, profile information, and so forth to the users. The users can interact with the social network provider 106 via the display engine/GUI 208.
For example, the users can select privacy settings, access their own user profile, access other users' information available via the social network = provider, and so forth via the display engine/GUI 208.
[0020] A relationship database 210 is provided for storing relationship data about each user. The user can specify relationships with one or more other users via the user profile, or by any other means. The user can assign categories, groups, networks, and so forth to the one or more other users with which the user has a relationship. The relationship, for example, may specify that a user is a family member, schoolmate, ex-girlfriend, and so forth. Any type of relationship may be specified.
[0021] According to some embodiments, the social network provider 106 may determine a relationship for the user. For example, if the user establishes communications with another user interested in Woody Allen movies, the social network provider 106 may assign the relationship of fellow Woody Allen movie fan. The social network provider 106 may inquire whether or not the user wants to add the other user as a fellow Woody Allen fan, in one instance. Alternatively, the social network provider 106 may utilize a common interest in Woody Allen movies as a variable to measure user affinity, without inquiring whether the user wants to add the other user to the user's profile, according to some embodiments.
[0022] A relationship may be assigned based on the user's interaction with other users or with any type of content. The user may have more than one relationship with other users or with content, according to exemplary embodiments. For example, the user's brother qualifies as one type of relationship, while the fact that the user's brother attended the same university as the user may qualify as another relationship. Any number of .
relationships may be established for each user and/or for each activity performed by the user in the social network environment.
[0023] According to exemplary embodiments, one or more networks may be provided for each user. For example, the user may have a network comprised of people grouped according to a university attended, a network comprised of people grouped according to the user's geographical location of residence, a network comprised of people grouped according to a common field of work, a network comprised of people grouped according to a particular business, and so forth. As discussed herein, a common network may establish a relationship between the user and other users in the common network, for example.
[00241 Any type of network may be provided by the social network provider 106. In other words, a network may comprise people grouped according to any type of category, such as various social networks described herein, like "friends", "geographical location", and so forth. The user may specify the networks, the categories, subcategories, and so forth and/or the networks, the categories, the subcategories, and so on may be predetermined by the social network provider 106. The networks, the categories, the subcategories, and so forth may comprise a relationship with the user, as discussed herein, but do not necessarily comprise the only relationship the user has with the other users.
C00251 Although the social network provider 106 is described as being comprised of various components (the profile database 202, the communications interface 204, the monitoring module 206, the display engine/GUI 208, and the relationship database 210), fewer or more components may comprise the social network provider 106 and still fall within the scope of various embodiments.
[00261 FIG. 3 illustrates a schematic diagram of an exemplary affinity engine. A user activity analyzer component 302 accesses the one or more user activities detected by the monitoring module 206. The user activity analyzer component 302 analyzes the user activities to determine whether one or more of the activities indicate an affinity for subject matter, content, other users, and so forth. Optionally, the user activities may be stored in a user activity storage medium (not shown) associated with the affinity engine 108 and/or the social network provider 106.
100271 An affinity assignment component 304 can access data from the relationship database 210 and from the user activity analyzer component 302 to assign an affinity rating and/or weight to subject matter, other users, and so forth, for each user. For example, a particular user's wife is assigned a rating based on a spousal relationship with the particular user, while the particular user's brother receives a different rating based on a sibling relationship. The user activity may be weighted differently from the user relationship. For example, the rating assigned to a user activity may comprise sixty percent (60%) of the overall affinity, while the relationship associated with the user activity comprises the other forty percent (40%) of the overall affinity determined for the user. The weights may be static or the weights may change according to a type of relationship, a type of user activity, and so forth.
[0028] Based on the one or more user activities and the relationships, an overall affinity for past, present, or future content can be determined by the affinity assignment component 304. According to exemplary embodiments, a particular user activity is assigned both a rating and a weight while a relationship associated with the particular user activity is assigned a rating and a correlating weight (e.g., so the weights total 100%).
The ratings may be combined according to their weights to determine an overall affinity for the user. For example, a particular user may receive content associated with the particular user's wife as a lower priority than content associated with the particular user's brother because although the particular user's wife has a higher rated relationship, the particular user accesses content about his brother more often. Depending upon the weights assigned to the activities and relationships for the particular user, the overall affinity may be determined to be higher for content about the user's brother than for content about the user's wife, in one instance. Any type of variables, such as time since information was accessed, frequency of access, relationship to person about which information was accessed, relationship to person sharing common interests in information accessed, relationship with the actual information accessed, and so forth, may be considered when assigning ratings and weights to the activities performed by the user and the relationships associated with the activities.
According to exemplary embodiments, an overall affinity for the user for each user, subject matter, type of content, and so forth may be established. The overall affinity may change based on continued monitoring of the user's activities or the overall affinity may be utilized to establish ratings for activities and/or relationships.
10030] The weights and/or the ratings may vary for the one or more user activities and for the relationships associated with the one or more user activities, as discussed herein. According to exemplary embodiments, a user activity is assigned an initial rating that is adjusted according to the rating and the affinity weight assigned to the relationship data associated with the user activity. Any type of process may be employed for assigning, combining, averaging, and so forth the ratings and the weights assigned to the one or more user activities and the relationships associated with the one or more user activities. As discussed herein, user activities may be utilized as feedback for adjusting ratings and weights assigned to the user activities and/or the relationships associated with the user activities. For example, the user's relationship with an existing girlfriend may rate higher than a relationship rating with the user's ex-girlfriend, but the affinity weight for the ex-girlfriend may be higher based on the number of times the user has accessed one or more items of media or other content about the ex-girlfriend in the past month.
100311 Any type of overall affinity may be determined utilizing any number of variables representative of activities and relationships, such as statistical metrics, long term averages of user interactions, short term averages
11 of user interactions, decay factors (e.g., the rate at which values associated with user interactions erodes through time), time, feedback, and so forth. The ratings and weights may be continuously updated based on continued tracking of the one or more user activities by the monitoring module 206.
Any rating, weight, and so forth may be assigned to each variable that is considered in determining an overall affinity. As discussed herein, the overall affinity may be established for various types of content, other users, categories of content, such as parties, and so forth.
[00321 The overall affinity determined by the affinity assignment component 304 may be utilized for providing various types of information, such as media, to the users. For example, the user may be presented with updated photos from a photo album from another user for which the user has a high overall affinity, stories about another user for which the user has a high overall affinity, or details about a party hosted by another user for which the user has a high overall affinity. The overall affinity may be utilized to generate and/or present any type of data to a particular user.
[00331 A media generator component 306 may, optionally, be provided as part of the affinity engine 108. The media generator component 306 utilizes the affinity determined by the affinity weighting component 304 to select and/or generate one or more items of media, such as stories. For example, the media generator component 306 can generate a story for a "User A" about a "User B" breaking up with a "User C" based on a high affinity that "User A" has for "User B" and/or "User C." The story in this instance is unique to "User A" since the relationship that "User A" has with "User B"
and/or "User C" may be different than the relationship a "User D" may have with "User B" and/or "User C", for example. Any type of media, stories, content, and so forth may be generated and/or provided to the user based on the affinity.
Any rating, weight, and so forth may be assigned to each variable that is considered in determining an overall affinity. As discussed herein, the overall affinity may be established for various types of content, other users, categories of content, such as parties, and so forth.
[00321 The overall affinity determined by the affinity assignment component 304 may be utilized for providing various types of information, such as media, to the users. For example, the user may be presented with updated photos from a photo album from another user for which the user has a high overall affinity, stories about another user for which the user has a high overall affinity, or details about a party hosted by another user for which the user has a high overall affinity. The overall affinity may be utilized to generate and/or present any type of data to a particular user.
[00331 A media generator component 306 may, optionally, be provided as part of the affinity engine 108. The media generator component 306 utilizes the affinity determined by the affinity weighting component 304 to select and/or generate one or more items of media, such as stories. For example, the media generator component 306 can generate a story for a "User A" about a "User B" breaking up with a "User C" based on a high affinity that "User A" has for "User B" and/or "User C." The story in this instance is unique to "User A" since the relationship that "User A" has with "User B"
and/or "User C" may be different than the relationship a "User D" may have with "User B" and/or "User C", for example. Any type of media, stories, content, and so forth may be generated and/or provided to the user based on the affinity.
12 [00341 The affinity assignment component 304 may also be utilized to assign an order to the media, the stories, the content, and so forth. For example, the story about "User B" breaking up with "User C" may be rated lower than a story about "User A's" brother having a baby, and accordingly, the story about "User B" breaking up with "User C" may appear below the story about "User A's" brother having a baby on a display page associated with "User A." Any type data may be assigned an order according to the affinity determined for the user based on the user's past or present activities and the relationships associated with the past or the present activities.
According to some embodiments, the media may be generated and/or ordered according to a prediction of future user activities.
[0035] Furthermore, some user interactions may be assigned a higher weight and/or rating than other user interactions, which may affect the overall affinity. For example, if a user emails another user, the weight or the rating for the interaction may be higher than if the user simply looks at the profile page for the other user. Any type of weights or ratings may be assigned to user interactions, relationships, and so forth. Further, any type of formula or process for determining the affinity may be employed by the affinity assignment component 304.
[00361 According to exemplary embodiments, a user can utilize privacy setting selections to ensure that media regarding particular users is not included on the display page associated with the user. Alternatively, the user can request from the social network provider 106 that the user not receive data about particular users. Any type of privacy settings or requests may be provided by the user for blocking news, content, and so forth about particular users.
[0037] FIG. 4 shows an exemplary screen shot 400 of one or more items of media displayed to a user based on user affinity. The exemplary
According to some embodiments, the media may be generated and/or ordered according to a prediction of future user activities.
[0035] Furthermore, some user interactions may be assigned a higher weight and/or rating than other user interactions, which may affect the overall affinity. For example, if a user emails another user, the weight or the rating for the interaction may be higher than if the user simply looks at the profile page for the other user. Any type of weights or ratings may be assigned to user interactions, relationships, and so forth. Further, any type of formula or process for determining the affinity may be employed by the affinity assignment component 304.
[00361 According to exemplary embodiments, a user can utilize privacy setting selections to ensure that media regarding particular users is not included on the display page associated with the user. Alternatively, the user can request from the social network provider 106 that the user not receive data about particular users. Any type of privacy settings or requests may be provided by the user for blocking news, content, and so forth about particular users.
[0037] FIG. 4 shows an exemplary screen shot 400 of one or more items of media displayed to a user based on user affinity. The exemplary
13 screen shot 400 represents the display page associated with a particular user, such as the user at user device 102. Various stories, content, media, and so forth may be displayed via the display page. In the exemplary screen shot shown in FIG. 4, several stories and/or story headlines are displayed.
[0038] A first story 402, entitled "Dana joined the group Who is Myke Jones?" was rated highest according to affinity. As discussed herein, an overall affinity may have been assigned to each story appearing on the display page, based on the user's interaction with other content and the user's relationships associated with the user's interaction with the other content.
The stories are then displayed in an order according to the affinity. For example, the first story 402 is assigned the highest order based on the affinity determined for the user for content and/or other users included in the first story 402, while a second story 404, entitled "Anthony joined the group Pugs?
Yes, please!", is assigned the second highest order based on the affinity determined for the user with respect to the content and/or the other users included in the second story 404, and so forth.
[0039] Although the affinity is determined based on the one or more user activities within the social network environment, according to some embodiments, user activity outside of the social network environment may also be considered in determining overall user affinity for content and/or other users. The relationships the user has with other users affects the weights and/or the ratings of the one or more user activities, since the one or more user activities have varying, significance for each user according to the one or more relationships associated with each activity the user performs, as discussed herein. For example, if a "User A" posts comments to a display page associated with "User B", who is a friend of "User A", the activity may be assigned a higher rating or weight than if "User A" posts comments to a display page associated with "User C", who is a co-worker of "User A." As
[0038] A first story 402, entitled "Dana joined the group Who is Myke Jones?" was rated highest according to affinity. As discussed herein, an overall affinity may have been assigned to each story appearing on the display page, based on the user's interaction with other content and the user's relationships associated with the user's interaction with the other content.
The stories are then displayed in an order according to the affinity. For example, the first story 402 is assigned the highest order based on the affinity determined for the user for content and/or other users included in the first story 402, while a second story 404, entitled "Anthony joined the group Pugs?
Yes, please!", is assigned the second highest order based on the affinity determined for the user with respect to the content and/or the other users included in the second story 404, and so forth.
[0039] Although the affinity is determined based on the one or more user activities within the social network environment, according to some embodiments, user activity outside of the social network environment may also be considered in determining overall user affinity for content and/or other users. The relationships the user has with other users affects the weights and/or the ratings of the one or more user activities, since the one or more user activities have varying, significance for each user according to the one or more relationships associated with each activity the user performs, as discussed herein. For example, if a "User A" posts comments to a display page associated with "User B", who is a friend of "User A", the activity may be assigned a higher rating or weight than if "User A" posts comments to a display page associated with "User C", who is a co-worker of "User A." As
14 discussed herein, the relationships may be obtained from categories, groups, and so forth that the user assigns to other users or from any other information the social network provider 106 obtains about the user.
[0040] Referring now to FIG. 5, a flow diagram of an exemplary process for measuring user affinity in a social network environment is illustrated. At step 502, one or more activities performed by a user associated with a social network environment are monitored. For example, the monitoring module 206 associated with the social network provider 106 can monitor the one or more activities performed by the user. The one or more activities may include emails, viewing of user profiles, viewing of users' photos, sending messages to other user, and so forth, as discussed herein.
[0041] At step 504, a relationship associated with the one or more activities is determined. As discussed herein, the relationship database 210 can provide one or more relationships the user has with other users or content with which the user is interacting. For example, if the user accesses a profile for a "User A", the relationship database 210 can provide the data that the relationship the user has with "User A" is that "User A" is the user's girlfriend. Accordingly, the relationship associated with the user accessing the profile for "User A" is that the user is accessing the user's girlfriend's profile. More than one relationship may be associated with the one or more user activities. For example, the user's girlfriend may also cohabitate with the user and thus, the relationship database 210 may indicate a cohabitation relationship exists as well.
[0042] As discussed herein, relationships may each be assigned different weights and ratings. Similarly, the one or more user activities, such as user interactions with other users or content, may also be assigned varying weights and ratings.
[00431 At step 506, an affinity for one or more objects associated with the social network environment is determined based on the one or more activities and the relationship. The one or more objects may include other users, subject matter, categories, and so forth. The affinity may be based on an affinity weight and rating assigned to the one or more user activities and the relationship(s) associated with the one or more user activities. The one or more user activities may comprise emailing one or more other users, viewing profiles for one or more other users, viewing content posted by or for one or more other users, viewing content posted for the user, himself, and so forth.
Any type of activities may be monitored and utilized to determine the affinity.
(00441 As discussed herein, one or more items of media, such as stories, photos, and so forth, may be generated, or optionally provided, based on the user affinity. According to exemplary embodiments, the affinity is updated according to the user interactions with content displayed to the user as a result of the affinity. For example, if the fifth story displayed to the user is a story about the user's best friend's ex-girlfriend and the user accesses the story first, the relationship between the user and the best friend and/or the best friend's ex-girlfriend may be assigned a higher rating. Accordingly, future stories about the user's best friend and/or the best friend's ex-girlfriend may be ranked higher than other stories.
[00451 While various embodiments have been described above, it should be understood that they have been presented by way of example only, and not limitation. For example, any of the elements associated with the affinity engine may employ any of the desired functionality set forth hereinabove. Thus, the breadth and scope of the claims should not be limited by any of the above-described exemplary embodiments.
[0040] Referring now to FIG. 5, a flow diagram of an exemplary process for measuring user affinity in a social network environment is illustrated. At step 502, one or more activities performed by a user associated with a social network environment are monitored. For example, the monitoring module 206 associated with the social network provider 106 can monitor the one or more activities performed by the user. The one or more activities may include emails, viewing of user profiles, viewing of users' photos, sending messages to other user, and so forth, as discussed herein.
[0041] At step 504, a relationship associated with the one or more activities is determined. As discussed herein, the relationship database 210 can provide one or more relationships the user has with other users or content with which the user is interacting. For example, if the user accesses a profile for a "User A", the relationship database 210 can provide the data that the relationship the user has with "User A" is that "User A" is the user's girlfriend. Accordingly, the relationship associated with the user accessing the profile for "User A" is that the user is accessing the user's girlfriend's profile. More than one relationship may be associated with the one or more user activities. For example, the user's girlfriend may also cohabitate with the user and thus, the relationship database 210 may indicate a cohabitation relationship exists as well.
[0042] As discussed herein, relationships may each be assigned different weights and ratings. Similarly, the one or more user activities, such as user interactions with other users or content, may also be assigned varying weights and ratings.
[00431 At step 506, an affinity for one or more objects associated with the social network environment is determined based on the one or more activities and the relationship. The one or more objects may include other users, subject matter, categories, and so forth. The affinity may be based on an affinity weight and rating assigned to the one or more user activities and the relationship(s) associated with the one or more user activities. The one or more user activities may comprise emailing one or more other users, viewing profiles for one or more other users, viewing content posted by or for one or more other users, viewing content posted for the user, himself, and so forth.
Any type of activities may be monitored and utilized to determine the affinity.
(00441 As discussed herein, one or more items of media, such as stories, photos, and so forth, may be generated, or optionally provided, based on the user affinity. According to exemplary embodiments, the affinity is updated according to the user interactions with content displayed to the user as a result of the affinity. For example, if the fifth story displayed to the user is a story about the user's best friend's ex-girlfriend and the user accesses the story first, the relationship between the user and the best friend and/or the best friend's ex-girlfriend may be assigned a higher rating. Accordingly, future stories about the user's best friend and/or the best friend's ex-girlfriend may be ranked higher than other stories.
[00451 While various embodiments have been described above, it should be understood that they have been presented by way of example only, and not limitation. For example, any of the elements associated with the affinity engine may employ any of the desired functionality set forth hereinabove. Thus, the breadth and scope of the claims should not be limited by any of the above-described exemplary embodiments.
Claims (21)
1. A non transitory computer readable storage medium embodying instructions for:
receiving by a social networking system information related to one or more actions performed by one or more entities;
generating one or more stories, wherein each of the one or more stories comprises a description of at least one action and an identification of at least one entity that performed the action;
determining, by a process running on a social networking system, a user's affinity for each of a plurality of the stories based at least in part on:
(1) the user's affinity for an entity identified in the story, and (2) an action described in the story;
comparing the determined user's affinities for the plurality of stories;
selecting one or more stories for the user based at least in part on the comparing of the determined user's affinities for the plurality of stories;
and transmitting the selected one or more stories for display to the user.
receiving by a social networking system information related to one or more actions performed by one or more entities;
generating one or more stories, wherein each of the one or more stories comprises a description of at least one action and an identification of at least one entity that performed the action;
determining, by a process running on a social networking system, a user's affinity for each of a plurality of the stories based at least in part on:
(1) the user's affinity for an entity identified in the story, and (2) an action described in the story;
comparing the determined user's affinities for the plurality of stories;
selecting one or more stories for the user based at least in part on the comparing of the determined user's affinities for the plurality of stories;
and transmitting the selected one or more stories for display to the user.
2. The computer readable storage medium of claim 1, further including instructions for:
generating one or more stories based on the user affinity.
generating one or more stories based on the user affinity.
3. The computer readable storage medium of claim 1 or 2, wherein the one or more actions comprises interactions with the second user.
4. The computer readable storage medium of claim 1 or 2, wherein the one or more actions comprises an interaction with content associated with the second user.
5. The computer readable storage medium of claim 1, wherein the user's affinity for one or more stories is a function of a decay factor, wherein the decay factor is a rate at which a value associated with a user interaction erodes through time.
6. The computer readable storage medium of claim 1, wherein the user's affinity for the entity identified by the one or more stories is determined at least in part based on the frequency of the user's interaction with the entity.
7. The computer readable storage medium of claim 1, wherein determining a user's affinity for one or more stories is also based at least in part on information associated with the one or more stories.
8. A system comprising:
a processor;
a recording module configured to cause the processor to record one or more actions performed by one or more entities;
an affinity engine coupled to the recording module, the affinity engine configured to cause the processor to:
generate one or more stories, wherein each of the one or more stories comprises information related to at least one recorded action and an identification of at least one entity that performed the recorded action, determine, by a process running on a social networking system, a user's affinity for each of a plurality of the stories based at least in part on:
(1) the user's affinity for an entity identified by the story, and (2) an action described in the story, compare the determined user's affinities for the plurality of stories, and select one or more stories for the user based at least in part on the comparing of the determined user's affinities for the plurality of stories; and a transmission engine configured to cause the processor to transmit the selected stories for display to the user.
a processor;
a recording module configured to cause the processor to record one or more actions performed by one or more entities;
an affinity engine coupled to the recording module, the affinity engine configured to cause the processor to:
generate one or more stories, wherein each of the one or more stories comprises information related to at least one recorded action and an identification of at least one entity that performed the recorded action, determine, by a process running on a social networking system, a user's affinity for each of a plurality of the stories based at least in part on:
(1) the user's affinity for an entity identified by the story, and (2) an action described in the story, compare the determined user's affinities for the plurality of stories, and select one or more stories for the user based at least in part on the comparing of the determined user's affinities for the plurality of stories; and a transmission engine configured to cause the processor to transmit the selected stories for display to the user.
9. The system of claim 8, wherein the affinity engine is further configured to cause the processor to generate one or more stories based on the user affinity.
10. The system of claim 8 or 9, wherein the one or more actions comprises interactions with the second user.
11. The system of claim 8 or 9, wherein the one or more actions comprises interaction with content associated with the second user.
12. The system of claim 8, wherein the user's affinity for one or more stories is a function of a decay factor, wherein the decay factor is a rate at which a value associated with a user interaction erodes through time.
13. The system of claim 8, wherein the user's affinity for the entity identified by the one or more stories is determined at least in part based on the frequency of the user's interaction with the entity.
14. The system of claim 8, wherein determining a user's affinity for one or more stories is also based at least in part on information associated with the one or more items of media.
15. A computer-implemented method comprising:
receiving by a social networking system information related to one or more actions performed by one or more entities;
generating one or more stories, wherein each of the one or more stories comprises a description of at least one action and an identification of at least one entity that performed the action;
determining, by a process running on a social networking system, a user's affinity for each of a plurality of the stories based at least in part on:
(1) the user's affinity for an entity identified in the story, and (2) an action described in the story;
comparing the determined user's affinities for the plurality of stories;
selecting one or more stories for the user based at least in part on the comparing of the determined user's affinities for the plurality of stories;
and transmitting the selected one or more stories for display to the user.
receiving by a social networking system information related to one or more actions performed by one or more entities;
generating one or more stories, wherein each of the one or more stories comprises a description of at least one action and an identification of at least one entity that performed the action;
determining, by a process running on a social networking system, a user's affinity for each of a plurality of the stories based at least in part on:
(1) the user's affinity for an entity identified in the story, and (2) an action described in the story;
comparing the determined user's affinities for the plurality of stories;
selecting one or more stories for the user based at least in part on the comparing of the determined user's affinities for the plurality of stories;
and transmitting the selected one or more stories for display to the user.
16. The method of claim 15 further comprising:
generating one or more stories based on the user affinity.
generating one or more stories based on the user affinity.
17. The method of claim 15 or 16, wherein the one or more actions comprises interactions with the second user.
18. The method of claim 15 or 16, wherein the one or more actions comprises interaction with content associated with the second user.
19. The method of claim 15, wherein the user's affinity for one or more stories is a function of a decay factor, wherein the decay factor is a rate at which a value associated with a user interaction erodes through time.
20. The method of claim 15, wherein the user's affinity for the entity identified by the one or more stories is determined at least in part based on the frequency of the user's interaction with the entity.
21. The method of claim 15, wherein determining a user's affinity for one or more stories is also based at least in part on information associated with the one or more stories.
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Families Citing this family (271)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8590013B2 (en) | 2002-02-25 | 2013-11-19 | C. S. Lee Crawford | Method of managing and communicating data pertaining to software applications for processor-based devices comprising wireless communication circuitry |
CA2615659A1 (en) * | 2005-07-22 | 2007-05-10 | Yogesh Chunilal Rathod | Universal knowledge management and desktop search system |
US8571999B2 (en) | 2005-11-14 | 2013-10-29 | C. S. Lee Crawford | Method of conducting operations for a social network application including activity list generation |
US8171128B2 (en) | 2006-08-11 | 2012-05-01 | Facebook, Inc. | Communicating a newsfeed of media content based on a member's interactions in a social network environment |
AU2006326015A1 (en) | 2005-12-14 | 2007-06-21 | Facebook, Inc. | Systems and methods for social mapping |
US7669123B2 (en) | 2006-08-11 | 2010-02-23 | Facebook, Inc. | Dynamically providing a news feed about a user of a social network |
US8402094B2 (en) | 2006-08-11 | 2013-03-19 | Facebook, Inc. | Providing a newsfeed based on user affinity for entities and monitored actions in a social network environment |
US9459622B2 (en) | 2007-01-12 | 2016-10-04 | Legalforce, Inc. | Driverless vehicle commerce network and community |
AU2006330852A1 (en) | 2005-12-23 | 2007-07-05 | Facebook, Inc. | Systems and methods for generating a social timeline |
US9037516B2 (en) | 2006-03-17 | 2015-05-19 | Fatdoor, Inc. | Direct mailing in a geo-spatial environment |
US8965409B2 (en) | 2006-03-17 | 2015-02-24 | Fatdoor, Inc. | User-generated community publication in an online neighborhood social network |
US9070101B2 (en) | 2007-01-12 | 2015-06-30 | Fatdoor, Inc. | Peer-to-peer neighborhood delivery multi-copter and method |
US9002754B2 (en) | 2006-03-17 | 2015-04-07 | Fatdoor, Inc. | Campaign in a geo-spatial environment |
US9064288B2 (en) | 2006-03-17 | 2015-06-23 | Fatdoor, Inc. | Government structures and neighborhood leads in a geo-spatial environment |
US9098545B2 (en) | 2007-07-10 | 2015-08-04 | Raj Abhyanker | Hot news neighborhood banter in a geo-spatial social network |
US9071367B2 (en) | 2006-03-17 | 2015-06-30 | Fatdoor, Inc. | Emergency including crime broadcast in a neighborhood social network |
US9373149B2 (en) | 2006-03-17 | 2016-06-21 | Fatdoor, Inc. | Autonomous neighborhood vehicle commerce network and community |
US7529795B2 (en) | 2006-03-20 | 2009-05-05 | Stragent, Llc | Message board aggregator |
US7647351B2 (en) | 2006-09-14 | 2010-01-12 | Stragent, Llc | Web scrape template generation |
US8036979B1 (en) | 2006-10-05 | 2011-10-11 | Experian Information Solutions, Inc. | System and method for generating a finance attribute from tradeline data |
US20080140642A1 (en) * | 2006-10-10 | 2008-06-12 | Bill Messing | Automated user activity associated data collection and reporting for content/metadata selection and propagation service |
US8224816B2 (en) * | 2006-12-15 | 2012-07-17 | O'malley Matthew | System and method for segmenting information |
US8763150B2 (en) * | 2009-06-18 | 2014-06-24 | Microsoft Corporation | Correlating private affinities |
US20080172464A1 (en) * | 2007-01-12 | 2008-07-17 | Nthid Networks, Inc. | Generation of contextual information in communication between parties |
US8606666B1 (en) | 2007-01-31 | 2013-12-10 | Experian Information Solutions, Inc. | System and method for providing an aggregation tool |
US8606626B1 (en) | 2007-01-31 | 2013-12-10 | Experian Information Solutions, Inc. | Systems and methods for providing a direct marketing campaign planning environment |
US8224298B2 (en) * | 2007-02-05 | 2012-07-17 | Boadin Technology, LLC | Systems and methods for mobile media services utilizing a short form command structure |
US8745060B2 (en) | 2007-07-25 | 2014-06-03 | Yahoo! Inc. | Indexing and searching content behind links presented in a communication |
CN101785284B (en) * | 2007-08-13 | 2013-07-31 | 日本电气株式会社 | Communication device, communication analysis method, and communication analysis program |
US8713055B2 (en) | 2007-09-07 | 2014-04-29 | Ezra Callahan | Dynamically updating privacy settings in a social network |
US9767461B2 (en) * | 2007-09-12 | 2017-09-19 | Excalibur Ip, Llc | Targeted in-group advertising |
WO2009044473A1 (en) * | 2007-10-04 | 2009-04-09 | Canon Anelva Corporation | High frequency sputtering device |
US9990652B2 (en) | 2010-12-15 | 2018-06-05 | Facebook, Inc. | Targeting social advertising to friends of users who have interacted with an object associated with the advertising |
US8700636B2 (en) * | 2010-09-16 | 2014-04-15 | Facebook, Inc. | Action clustering for news feeds |
US8589266B2 (en) * | 2007-11-05 | 2013-11-19 | Ebay Inc. | Request money social networking applications |
US9123079B2 (en) * | 2007-11-05 | 2015-09-01 | Facebook, Inc. | Sponsored stories unit creation from organic activity stream |
US8799068B2 (en) | 2007-11-05 | 2014-08-05 | Facebook, Inc. | Social advertisements and other informational messages on a social networking website, and advertising model for same |
US20120203831A1 (en) | 2011-02-03 | 2012-08-09 | Kent Schoen | Sponsored Stories Unit Creation from Organic Activity Stream |
US9990674B1 (en) | 2007-12-14 | 2018-06-05 | Consumerinfo.Com, Inc. | Card registry systems and methods |
US20090171873A1 (en) * | 2007-12-31 | 2009-07-02 | Microsoft Corporation | Determining the interestingness of content update notifications |
US9584343B2 (en) | 2008-01-03 | 2017-02-28 | Yahoo! Inc. | Presentation of organized personal and public data using communication mediums |
US8117242B1 (en) | 2008-01-18 | 2012-02-14 | Boadin Technology, LLC | System, method, and computer program product for performing a search in conjunction with use of an online application |
US8117225B1 (en) | 2008-01-18 | 2012-02-14 | Boadin Technology, LLC | Drill-down system, method, and computer program product for focusing a search |
US8788942B2 (en) * | 2008-02-29 | 2014-07-22 | Microsoft Corporation | Enterprise social networking software architecture |
US20090222448A1 (en) * | 2008-02-29 | 2009-09-03 | Microsoft Corporation | Elements of an enterprise event feed |
US8229819B2 (en) * | 2008-03-03 | 2012-07-24 | Wildfire Interactive, Inc. | Providing online promotions through social media networks |
US8606721B1 (en) * | 2008-03-11 | 2013-12-10 | Amazon Technologies, Inc. | Implicit social graph edge strengths |
JP5266841B2 (en) * | 2008-03-31 | 2013-08-21 | 富士通株式会社 | Virtual community management system, virtual community management method, and computer program |
US20090271417A1 (en) * | 2008-04-25 | 2009-10-29 | John Toebes | Identifying User Relationships from Situational Analysis of User Comments Made on Media Content |
US8688841B2 (en) * | 2008-06-05 | 2014-04-01 | Modena Enterprises, Llc | System and method for content rights based on existence of a voice session |
US9002820B2 (en) * | 2008-06-05 | 2015-04-07 | Gary Stephen Shuster | Forum search with time-dependent activity weighting |
US20090319359A1 (en) * | 2008-06-18 | 2009-12-24 | Vyrl Mkt, Inc. | Social behavioral targeting based on influence in a social network |
US8312033B1 (en) | 2008-06-26 | 2012-11-13 | Experian Marketing Solutions, Inc. | Systems and methods for providing an integrated identifier |
US20100015976A1 (en) * | 2008-07-17 | 2010-01-21 | Domingo Enterprises, Llc | System and method for sharing rights-enabled mobile profiles |
US20100015975A1 (en) * | 2008-07-17 | 2010-01-21 | Kota Enterprises, Llc | Profile service for sharing rights-enabled mobile profiles |
US8307086B2 (en) * | 2008-08-19 | 2012-11-06 | Facebook, Inc. | Resource management of social network applications |
US20100049534A1 (en) * | 2008-08-19 | 2010-02-25 | Thomas Scott Whitnah | Determining User Affinity Towards Applications on a Social Networking Website |
US8078397B1 (en) | 2008-08-22 | 2011-12-13 | Boadin Technology, LLC | System, method, and computer program product for social networking utilizing a vehicular assembly |
US8131458B1 (en) | 2008-08-22 | 2012-03-06 | Boadin Technology, LLC | System, method, and computer program product for instant messaging utilizing a vehicular assembly |
US8265862B1 (en) | 2008-08-22 | 2012-09-11 | Boadin Technology, LLC | System, method, and computer program product for communicating location-related information |
US8073590B1 (en) | 2008-08-22 | 2011-12-06 | Boadin Technology, LLC | System, method, and computer program product for utilizing a communication channel of a mobile device by a vehicular assembly |
US8190692B1 (en) | 2008-08-22 | 2012-05-29 | Boadin Technology, LLC | Location-based messaging system, method, and computer program product |
AU2009285651A1 (en) * | 2008-08-28 | 2010-03-04 | Robert S. Jewell Jr. | Targeted network content |
US8060424B2 (en) | 2008-11-05 | 2011-11-15 | Consumerinfo.Com, Inc. | On-line method and system for monitoring and reporting unused available credit |
US20100153867A1 (en) * | 2008-12-17 | 2010-06-17 | Michael Scott | Method and system for social networking, advertisement, distributing consumer behavior tracking devices, and harvesting consumer behavior data |
US20100185630A1 (en) * | 2008-12-30 | 2010-07-22 | Microsoft Corporation | Morphing social networks based on user context |
US20100199184A1 (en) * | 2009-01-30 | 2010-08-05 | Yahoo! Inc. | Prioritizing vitality events in a social networking system |
US9727312B1 (en) | 2009-02-17 | 2017-08-08 | Ikorongo Technology, LLC | Providing subject information regarding upcoming images on a display |
US9210313B1 (en) | 2009-02-17 | 2015-12-08 | Ikorongo Technology, LLC | Display device content selection through viewer identification and affinity prediction |
US10706601B2 (en) | 2009-02-17 | 2020-07-07 | Ikorongo Technology, LLC | Interface for receiving subject affinity information |
WO2010096063A1 (en) * | 2009-02-23 | 2010-08-26 | Hewlett-Packard Development Company, L.P. | Social networking of mobile devices |
US8910251B2 (en) * | 2009-03-06 | 2014-12-09 | Facebook, Inc. | Using social information for authenticating a user session |
US20100251279A1 (en) * | 2009-03-26 | 2010-09-30 | Clear Channel Management Services, Inc. | Delivering content related to a commercial media program |
US8799060B2 (en) * | 2009-03-30 | 2014-08-05 | Transactis, Inc | Method for electronic coupon creation, deployment, transference, validation management, clearance, redemption and reporting system and and method for interactive participation of individuals and groups with coupons |
WO2010141216A2 (en) | 2009-06-02 | 2010-12-09 | Xobni Corporation | Self populating address book |
US20110004692A1 (en) | 2009-07-01 | 2011-01-06 | Tom Occhino | Gathering Information about Connections in a Social Networking Service |
US20110004520A1 (en) * | 2009-07-06 | 2011-01-06 | Linkedln Corporation | System to present business network notifications in conjunction with display advertisements |
US8990323B2 (en) | 2009-07-08 | 2015-03-24 | Yahoo! Inc. | Defining a social network model implied by communications data |
US8984074B2 (en) | 2009-07-08 | 2015-03-17 | Yahoo! Inc. | Sender-based ranking of person profiles and multi-person automatic suggestions |
US9721228B2 (en) | 2009-07-08 | 2017-08-01 | Yahoo! Inc. | Locally hosting a social network using social data stored on a user's computer |
US7930430B2 (en) * | 2009-07-08 | 2011-04-19 | Xobni Corporation | Systems and methods to provide assistance during address input |
US20110015985A1 (en) * | 2009-07-17 | 2011-01-20 | James Curtis | Universal multimedia distribution, storage, and playback systems and methods |
US8572191B2 (en) | 2009-08-03 | 2013-10-29 | Yahoo! Inc. | Systems and methods for profile building |
US9021028B2 (en) | 2009-08-04 | 2015-04-28 | Yahoo! Inc. | Systems and methods for spam filtering |
US9152952B2 (en) | 2009-08-04 | 2015-10-06 | Yahoo! Inc. | Spam filtering and person profiles |
US20110078188A1 (en) * | 2009-09-28 | 2011-03-31 | Microsoft Corporation | Mining and Conveying Social Relationships |
US9087323B2 (en) * | 2009-10-14 | 2015-07-21 | Yahoo! Inc. | Systems and methods to automatically generate a signature block |
US9183544B2 (en) | 2009-10-14 | 2015-11-10 | Yahoo! Inc. | Generating a relationship history |
US9514466B2 (en) | 2009-11-16 | 2016-12-06 | Yahoo! Inc. | Collecting and presenting data including links from communications sent to or from a user |
WO2011067454A1 (en) * | 2009-12-01 | 2011-06-09 | Nokia Corporation | Methods and apparatuses for relevance calculation |
US9760866B2 (en) | 2009-12-15 | 2017-09-12 | Yahoo Holdings, Inc. | Systems and methods to provide server side profile information |
US20110153423A1 (en) * | 2010-06-21 | 2011-06-23 | Jon Elvekrog | Method and system for creating user based summaries for content distribution |
US20110153414A1 (en) * | 2009-12-23 | 2011-06-23 | Jon Elvekrog | Method and system for dynamic advertising based on user actions |
US8621046B2 (en) * | 2009-12-26 | 2013-12-31 | Intel Corporation | Offline advertising services |
EP2343866B1 (en) * | 2010-01-11 | 2016-03-30 | Vodafone Holding GmbH | Network-based system for social interactions between users |
US20110191691A1 (en) * | 2010-01-29 | 2011-08-04 | Spears Joseph L | Systems and Methods for Dynamic Generation and Management of Ancillary Media Content Alternatives in Content Management Systems |
US20110191287A1 (en) * | 2010-01-29 | 2011-08-04 | Spears Joseph L | Systems and Methods for Dynamic Generation of Multiple Content Alternatives for Content Management Systems |
US20110191246A1 (en) * | 2010-01-29 | 2011-08-04 | Brandstetter Jeffrey D | Systems and Methods Enabling Marketing and Distribution of Media Content by Content Creators and Content Providers |
US11157919B2 (en) * | 2010-01-29 | 2021-10-26 | Ipar, Llc | Systems and methods for dynamic management of geo-fenced and geo-targeted media content and content alternatives in content management systems |
US20110191288A1 (en) * | 2010-01-29 | 2011-08-04 | Spears Joseph L | Systems and Methods for Generation of Content Alternatives for Content Management Systems Using Globally Aggregated Data and Metadata |
US8924956B2 (en) | 2010-02-03 | 2014-12-30 | Yahoo! Inc. | Systems and methods to identify users using an automated learning process |
US8423545B2 (en) * | 2010-02-03 | 2013-04-16 | Xobni Corporation | Providing user input suggestions for conflicting data using rank determinations |
KR101163196B1 (en) * | 2010-02-12 | 2012-07-06 | 박미쁨 | Method of managing customized social network map in application server providing customized content and computer readable medium thereof |
US9465993B2 (en) | 2010-03-01 | 2016-10-11 | Microsoft Technology Licensing, Llc | Ranking clusters based on facial image analysis |
US8560962B2 (en) | 2010-03-31 | 2013-10-15 | Facebook, Inc. | Promoting participation of low-activity users in social networking system |
US8880600B2 (en) | 2010-03-31 | 2014-11-04 | Facebook, Inc. | Creating groups of users in a social networking system |
US20110258203A1 (en) * | 2010-04-16 | 2011-10-20 | Wouhaybi Rita H | Methods and systems for relationship characterization and utilization from a user's social networks |
US20110261692A1 (en) * | 2010-04-21 | 2011-10-27 | Josep Maria Pujol Serra | Method for balancing loads in mobile wireless ad-hoc networks |
US9210112B2 (en) * | 2010-05-13 | 2015-12-08 | Samsung Electronics Co., Ltd. | Method for providing a social networking service and service providing server applying the same |
US8751305B2 (en) | 2010-05-24 | 2014-06-10 | 140 Proof, Inc. | Targeting users based on persona data |
US8982053B2 (en) | 2010-05-27 | 2015-03-17 | Yahoo! Inc. | Presenting a new user screen in response to detection of a user motion |
US8972257B2 (en) | 2010-06-02 | 2015-03-03 | Yahoo! Inc. | Systems and methods to present voice message information to a user of a computing device |
US8620935B2 (en) | 2011-06-24 | 2013-12-31 | Yahoo! Inc. | Personalizing an online service based on data collected for a user of a computing device |
US20110320441A1 (en) * | 2010-06-25 | 2011-12-29 | Microsoft Corporation | Adjusting search results based on user social profiles |
US8332392B2 (en) | 2010-06-30 | 2012-12-11 | Hewlett-Packard Development Company, L.P. | Selection of items from a feed of information |
US8429685B2 (en) | 2010-07-09 | 2013-04-23 | Intel Corporation | System and method for privacy-preserving advertisement selection |
KR101674249B1 (en) * | 2010-07-22 | 2016-11-08 | 휴렛 팩커드 엔터프라이즈 디벨롭먼트 엘피 | Context-based item bookmarking |
US9177039B2 (en) * | 2010-08-06 | 2015-11-03 | Nec Corporation | Communication assistance device, communication assistance method, and computer readable recording medium |
US9432746B2 (en) | 2010-08-25 | 2016-08-30 | Ipar, Llc | Method and system for delivery of immersive content over communication networks |
US8355955B1 (en) | 2010-08-30 | 2013-01-15 | Amazon Technologies, Inc. | Method, medium, and system for adjusting a selectable element based on social networking usage |
US8630494B1 (en) | 2010-09-01 | 2014-01-14 | Ikorongo Technology, LLC | Method and system for sharing image content based on collection proximity |
US9208239B2 (en) | 2010-09-29 | 2015-12-08 | Eloy Technology, Llc | Method and system for aggregating music in the cloud |
US9185469B2 (en) * | 2010-09-30 | 2015-11-10 | Kodak Alaris Inc. | Summarizing image collection using a social network |
US8626835B1 (en) | 2010-10-21 | 2014-01-07 | Google Inc. | Social identity clustering |
US8560605B1 (en) * | 2010-10-21 | 2013-10-15 | Google Inc. | Social affinity on the web |
US8688704B1 (en) * | 2010-11-24 | 2014-04-01 | Google Inc. | User feedback in people search clustering |
US9753609B2 (en) * | 2010-12-03 | 2017-09-05 | Facebook, Inc. | User interface with media wheel facilitating viewing of media objects |
US9092826B2 (en) * | 2010-12-04 | 2015-07-28 | Facebook, Inc. | Profile page with biographical summary for social networking system user |
US9497154B2 (en) * | 2010-12-13 | 2016-11-15 | Facebook, Inc. | Measuring social network-based interaction with web content external to a social networking system |
US9823803B2 (en) * | 2010-12-22 | 2017-11-21 | Facebook, Inc. | Modular user profile overlay |
US8781304B2 (en) | 2011-01-18 | 2014-07-15 | Ipar, Llc | System and method for augmenting rich media content using multiple content repositories |
US9483751B2 (en) | 2011-02-18 | 2016-11-01 | Google Inc. | Label privileges |
EP2676222B1 (en) | 2011-02-18 | 2018-09-19 | Google LLC | Facial recognition |
US8606776B2 (en) * | 2011-02-18 | 2013-12-10 | Google Inc. | Affinity based ranked for search and display |
EP2678784A4 (en) | 2011-02-23 | 2014-08-06 | Bottlenose Inc | Adaptive system architecture for identifying popular topics from messages |
KR101750827B1 (en) * | 2011-03-02 | 2017-06-27 | 삼성전자주식회사 | Method and apparatus for sharing media based on social network in communication system |
US9361624B2 (en) | 2011-03-23 | 2016-06-07 | Ipar, Llc | Method and system for predicting association item affinities using second order user item associations |
US8751592B2 (en) | 2011-11-04 | 2014-06-10 | Facebook, Inc. | Controlling notification based on power expense and social factors |
US9191829B2 (en) | 2011-05-31 | 2015-11-17 | Facebook, Inc. | Sensing proximity utilizing a wireless radio subsystem |
US8929806B2 (en) | 2011-05-31 | 2015-01-06 | Facebook, Inc. | Passively powering a wireless communications device |
US8644892B2 (en) | 2011-05-31 | 2014-02-04 | Facebook, Inc. | Dual mode wireless communications device |
US9246554B2 (en) * | 2011-05-31 | 2016-01-26 | Facebook, Inc. | Using a wireless radio to manage power consumption |
US10078819B2 (en) | 2011-06-21 | 2018-09-18 | Oath Inc. | Presenting favorite contacts information to a user of a computing device |
US9747583B2 (en) | 2011-06-30 | 2017-08-29 | Yahoo Holdings, Inc. | Presenting entity profile information to a user of a computing device |
US20230153347A1 (en) * | 2011-07-05 | 2023-05-18 | Michael Stewart Shunock | System and method for annotating images |
US9483606B1 (en) | 2011-07-08 | 2016-11-01 | Consumerinfo.Com, Inc. | Lifescore |
US9846916B2 (en) * | 2011-07-10 | 2017-12-19 | Facebook, Inc. | Clustering a user's connections in a social networking system |
US9256859B2 (en) | 2011-07-26 | 2016-02-09 | Salesforce.Com, Inc. | Systems and methods for fragmenting newsfeed objects |
US9195679B1 (en) | 2011-08-11 | 2015-11-24 | Ikorongo Technology, LLC | Method and system for the contextual display of image tags in a social network |
US9530167B2 (en) * | 2011-08-12 | 2016-12-27 | Facebook, Inc. | Coefficients attribution for different objects based on natural language processing |
US10082574B2 (en) | 2011-08-25 | 2018-09-25 | Intel Corporation | System, method and computer program product for human presence detection based on audio |
US20130212491A1 (en) * | 2011-09-12 | 2013-08-15 | Gface Gmbh | Computer-implemented method for displaying an individual timeline of a user of a social network, computer system and computer-readable medium thereof |
US9106691B1 (en) | 2011-09-16 | 2015-08-11 | Consumerinfo.Com, Inc. | Systems and methods of identity protection and management |
US9116997B2 (en) | 2011-09-22 | 2015-08-25 | Alibaba.Com Limited | Presenting user preference activities |
US8990208B2 (en) * | 2011-09-22 | 2015-03-24 | Fujitsu Limited | Information management and networking |
CN103036763A (en) * | 2011-09-30 | 2013-04-10 | 腾讯数码(天津)有限公司 | Method and system for pulling precipitation user in social networking services (SNS) community |
US9026592B1 (en) | 2011-10-07 | 2015-05-05 | Google Inc. | Promoting user interaction based on user activity in social networking services |
KR101266141B1 (en) * | 2011-10-11 | 2013-05-21 | (주)카카오 | Instant messaging service providing method and system |
US8738516B1 (en) | 2011-10-13 | 2014-05-27 | Consumerinfo.Com, Inc. | Debt services candidate locator |
US9754292B1 (en) * | 2011-10-13 | 2017-09-05 | Google Inc. | Method and apparatus for serving relevant ads based on the recommendations of influential friends |
US9087273B2 (en) * | 2011-11-15 | 2015-07-21 | Facebook, Inc. | Facial recognition using social networking information |
US20130124322A1 (en) * | 2011-11-15 | 2013-05-16 | Brian Thomas Boland | Targeting information to a user based on viewed profile pages |
US9134969B2 (en) | 2011-12-13 | 2015-09-15 | Ipar, Llc | Computer-implemented systems and methods for providing consistent application generation |
US9591087B2 (en) | 2011-12-27 | 2017-03-07 | Tata Consultancy Services Limited | Method and system for creating an intelligent social network between a plurality of devices |
US9183259B1 (en) | 2012-01-13 | 2015-11-10 | Google Inc. | Selecting content based on social significance |
US8843491B1 (en) | 2012-01-24 | 2014-09-23 | Google Inc. | Ranking and ordering items in stream |
US9177065B1 (en) | 2012-02-09 | 2015-11-03 | Google Inc. | Quality score for posts in social networking services |
US8832092B2 (en) | 2012-02-17 | 2014-09-09 | Bottlenose, Inc. | Natural language processing optimized for micro content |
US9319373B1 (en) * | 2012-03-15 | 2016-04-19 | PlayStudios, Inc. | Social networking game with prioritized message queue |
US9264390B2 (en) * | 2012-03-22 | 2016-02-16 | Google Inc. | Synchronous communication system and method |
US10977285B2 (en) | 2012-03-28 | 2021-04-13 | Verizon Media Inc. | Using observations of a person to determine if data corresponds to the person |
JP2013214133A (en) * | 2012-03-30 | 2013-10-17 | Sony Corp | Information processing device, information processing method, and program |
US9853959B1 (en) | 2012-05-07 | 2017-12-26 | Consumerinfo.Com, Inc. | Storage and maintenance of personal data |
US8904296B2 (en) * | 2012-06-14 | 2014-12-02 | Adobe Systems Incorporated | Method and apparatus for presenting a participant engagement level in an online interaction |
US9436687B2 (en) * | 2012-07-09 | 2016-09-06 | Facebook, Inc. | Acquiring structured user data using composer interface having input fields corresponding to acquired structured data |
CN104380332A (en) * | 2012-07-10 | 2015-02-25 | Nec卡西欧移动通信株式会社 | Community server, community method, and program |
WO2014014473A1 (en) * | 2012-07-20 | 2014-01-23 | Ipar, Llc | Method and system for predicting association item affinities using second order user item associations |
US9454519B1 (en) * | 2012-08-15 | 2016-09-27 | Google Inc. | Promotion and demotion of posts in social networking services |
JP5999495B2 (en) * | 2012-09-24 | 2016-09-28 | 大日本印刷株式会社 | Coupling device and coupling system |
US9377933B2 (en) * | 2012-09-24 | 2016-06-28 | Facebook, Inc. | Displaying social networking system entity information via a timeline interface |
US9432418B1 (en) * | 2012-09-28 | 2016-08-30 | Google Inc. | Presenting an event-related post in a stream |
US8874559B1 (en) | 2012-10-01 | 2014-10-28 | Google Inc. | Ranking and ordering items in user-streams |
US10587705B2 (en) | 2012-10-24 | 2020-03-10 | Facebook, Inc. | Methods and systems for determining use and content of PYMK based on value model |
US20140113652A1 (en) * | 2012-10-24 | 2014-04-24 | Yael G. Maguire | Sensing Distance Between Wireless Devices Using Multiple Scales of Controlled Bandwidth |
US10013672B2 (en) | 2012-11-02 | 2018-07-03 | Oath Inc. | Address extraction from a communication |
US9654541B1 (en) | 2012-11-12 | 2017-05-16 | Consumerinfo.Com, Inc. | Aggregating user web browsing data |
US9245312B2 (en) * | 2012-11-14 | 2016-01-26 | Facebook, Inc. | Image panning and zooming effect |
US9224174B2 (en) | 2012-11-28 | 2015-12-29 | Facebook, Inc. | Determining influence in a social networking system |
US9325751B2 (en) | 2012-11-28 | 2016-04-26 | Facebook, Inc. | Determining object relevance in a social networking system |
US9916621B1 (en) | 2012-11-30 | 2018-03-13 | Consumerinfo.Com, Inc. | Presentation of credit score factors |
US10192200B2 (en) | 2012-12-04 | 2019-01-29 | Oath Inc. | Classifying a portion of user contact data into local contacts |
US9497234B2 (en) * | 2012-12-27 | 2016-11-15 | Facebook, Inc. | Implicit social graph connections |
US9294522B1 (en) | 2012-12-28 | 2016-03-22 | Google Inc. | Synchronous communication system and method |
US9661086B2 (en) | 2013-01-31 | 2017-05-23 | Facebook, Inc. | Incorporation of content from an external followed user within a social networking system |
US9319472B2 (en) * | 2013-02-05 | 2016-04-19 | Facebook, Inc. | Facilitating generation of user content for aggregated story units |
US9342853B2 (en) * | 2013-02-18 | 2016-05-17 | International Business Machines Corporation | Social network pruning |
US10102570B1 (en) | 2013-03-14 | 2018-10-16 | Consumerinfo.Com, Inc. | Account vulnerability alerts |
US9406085B1 (en) | 2013-03-14 | 2016-08-02 | Consumerinfo.Com, Inc. | System and methods for credit dispute processing, resolution, and reporting |
US9998969B2 (en) | 2013-03-15 | 2018-06-12 | Facebook, Inc. | Portable platform for networked computing |
US9516121B2 (en) * | 2013-03-15 | 2016-12-06 | Citrix Systems, Inc. | Display of user actions or search results in social media community |
CN105210343B (en) | 2013-03-15 | 2017-06-16 | 脸谱公司 | Set up communication |
US9207986B2 (en) | 2013-04-11 | 2015-12-08 | Facebook, Inc. | Identifying a next window of idle time to perform pre-generation tasks of content portions outside of the displayable region stored in a message queue |
US9760964B2 (en) | 2013-04-11 | 2017-09-12 | Facebook, Inc. | Application-tailored object re-use and recycling |
US10126903B2 (en) | 2013-04-15 | 2018-11-13 | Facebook, Inc. | Application-tailored object pre-inflation |
US10685398B1 (en) | 2013-04-23 | 2020-06-16 | Consumerinfo.Com, Inc. | Presenting credit score information |
US9479576B2 (en) | 2013-06-03 | 2016-10-25 | Adobe Systems Incorporated | Image session ranking |
US20140358612A1 (en) * | 2013-06-03 | 2014-12-04 | 24/7 Customer, Inc. | Method and apparatus for managing visitor interactions |
US8954279B2 (en) | 2013-06-25 | 2015-02-10 | Facebook, Inc. | Human-like global positioning system (GPS) directions |
JP6122735B2 (en) | 2013-08-28 | 2017-04-26 | ヤフー株式会社 | Information processing apparatus, determination method, and determination program |
CN104423942A (en) * | 2013-08-28 | 2015-03-18 | 腾讯科技(深圳)有限公司 | Method for showing friend relationship in community, relevant device and system |
US20150081696A1 (en) * | 2013-09-19 | 2015-03-19 | Marketwire L.P. | Systems and Methods for Actively Composing Content for Use in Continuous Social Communication |
US10325314B1 (en) | 2013-11-15 | 2019-06-18 | Consumerinfo.Com, Inc. | Payment reporting systems |
KR102340792B1 (en) * | 2013-11-18 | 2021-12-17 | 삼성전자주식회사 | Method and apparatus for controlling application based on social updates in social networks |
US9477737B1 (en) | 2013-11-20 | 2016-10-25 | Consumerinfo.Com, Inc. | Systems and user interfaces for dynamic access of multiple remote databases and synchronization of data based on user rules |
US9407711B2 (en) | 2013-11-21 | 2016-08-02 | Facebook, Inc. | Systems and methods for receiving and processing detected events |
US9460215B2 (en) | 2013-12-19 | 2016-10-04 | Facebook, Inc. | Ranking recommended search queries on online social networks |
US10127300B2 (en) * | 2013-12-23 | 2018-11-13 | International Business Machines Corporation | Mapping relationships using electronic communications data |
US9439367B2 (en) | 2014-02-07 | 2016-09-13 | Arthi Abhyanker | Network enabled gardening with a remotely controllable positioning extension |
US10262362B1 (en) | 2014-02-14 | 2019-04-16 | Experian Information Solutions, Inc. | Automatic generation of code for attributes |
US10015770B2 (en) * | 2014-03-24 | 2018-07-03 | International Business Machines Corporation | Social proximity networks for mobile phones |
US9892457B1 (en) | 2014-04-16 | 2018-02-13 | Consumerinfo.Com, Inc. | Providing credit data in search results |
US9457901B2 (en) | 2014-04-22 | 2016-10-04 | Fatdoor, Inc. | Quadcopter with a printable payload extension system and method |
US9004396B1 (en) | 2014-04-24 | 2015-04-14 | Fatdoor, Inc. | Skyteboard quadcopter and method |
US9022324B1 (en) | 2014-05-05 | 2015-05-05 | Fatdoor, Inc. | Coordination of aerial vehicles through a central server |
US9971985B2 (en) | 2014-06-20 | 2018-05-15 | Raj Abhyanker | Train based community |
US9441981B2 (en) | 2014-06-20 | 2016-09-13 | Fatdoor, Inc. | Variable bus stops across a bus route in a regional transportation network |
US9426143B2 (en) | 2014-07-07 | 2016-08-23 | Facebook, Inc. | Providing social network content based on the login state of a user |
US9451020B2 (en) | 2014-07-18 | 2016-09-20 | Legalforce, Inc. | Distributed communication of independent autonomous vehicles to provide redundancy and performance |
US9747647B2 (en) | 2014-07-21 | 2017-08-29 | Facebook, Inc. | Missed feed unit for content feeds |
EP3012798B1 (en) | 2014-10-22 | 2019-06-05 | Facebook, Inc. | Social scores for network elements |
US20160117355A1 (en) * | 2014-10-22 | 2016-04-28 | Facebook, Inc. | Social Scores for Network Elements |
US9898461B2 (en) | 2014-12-11 | 2018-02-20 | Facebook, Inc. | Incorporation of user-provided natural language translations in a social networking system |
EP3032486A1 (en) | 2014-12-11 | 2016-06-15 | Facebook, Inc. | User-aware notification delivery |
US10242019B1 (en) | 2014-12-19 | 2019-03-26 | Experian Information Solutions, Inc. | User behavior segmentation using latent topic detection |
US9838396B2 (en) * | 2015-01-09 | 2017-12-05 | Facebook, Inc. | Controlling content-sharing using a privacy list snapshot |
EP3107059A1 (en) | 2015-06-15 | 2016-12-21 | Facebook, Inc. | Geo-metric |
US9872061B2 (en) | 2015-06-20 | 2018-01-16 | Ikorongo Technology, LLC | System and device for interacting with a remote presentation |
US10567479B2 (en) | 2015-08-05 | 2020-02-18 | Facebook, Inc. | Managing a device cloud |
US10348798B2 (en) | 2015-08-05 | 2019-07-09 | Facebook, Inc. | Rules engine for connected devices |
US10425392B2 (en) | 2015-08-05 | 2019-09-24 | Facebook, Inc. | Managing a device cloud |
US10476827B2 (en) * | 2015-09-28 | 2019-11-12 | Google Llc | Sharing images and image albums over a communication network |
US10165393B2 (en) | 2016-05-27 | 2018-12-25 | Bank Of America Corporation | System for monitoring resource utilization and resource optimization |
US10652188B2 (en) * | 2016-06-03 | 2020-05-12 | Facebook, Inc. | Tracking post viewership |
US10394831B2 (en) * | 2016-06-03 | 2019-08-27 | Facebook, Inc. | Profile with third-party content |
US10476832B2 (en) | 2016-07-14 | 2019-11-12 | Facebook, Inc. | Content notification on online social networks for media-player devices |
US11019177B2 (en) * | 2016-07-21 | 2021-05-25 | Facebook, Inc. | Selecting assets |
US10419381B2 (en) * | 2016-08-30 | 2019-09-17 | Facebook, Inc. | Prompt ranking |
US11481816B2 (en) | 2017-02-06 | 2022-10-25 | Meta Platforms, Inc. | Indications for sponsored content items within media items |
US10282598B2 (en) | 2017-03-07 | 2019-05-07 | Bank Of America Corporation | Performing image analysis for dynamic personnel identification based on a combination of biometric features |
US20180330325A1 (en) | 2017-05-12 | 2018-11-15 | Zippy Inc. | Method for indicating delivery location and software for same |
EP3568787B1 (en) | 2017-05-17 | 2024-04-10 | Google LLC | Automatic image sharing with designated users over a communication network |
US10290190B2 (en) | 2017-07-31 | 2019-05-14 | Facebook, Inc. | Providing temperature sensation to a user based on content presented to the user |
US10387487B1 (en) | 2018-01-25 | 2019-08-20 | Ikorongo Technology, LLC | Determining images of interest based on a geographical location |
US10691704B2 (en) | 2018-02-21 | 2020-06-23 | Kensho Technologies, Llc | Domain-based search engine |
US11159585B2 (en) | 2018-03-14 | 2021-10-26 | At&T Intellectual Property I, L.P. | Content delivery and consumption with affinity-based remixing |
US11496602B2 (en) | 2018-06-26 | 2022-11-08 | International Business Machines Corporation | Fence computing |
US10382898B1 (en) | 2018-07-31 | 2019-08-13 | Facebook, Inc. | Dynamic location monitoring for targeted updates |
US20200043046A1 (en) * | 2018-08-03 | 2020-02-06 | Facebook, Inc. | Location prediction |
US11265324B2 (en) | 2018-09-05 | 2022-03-01 | Consumerinfo.Com, Inc. | User permissions for access to secure data at third-party |
US11315179B1 (en) | 2018-11-16 | 2022-04-26 | Consumerinfo.Com, Inc. | Methods and apparatuses for customized card recommendations |
US11544462B2 (en) | 2018-12-07 | 2023-01-03 | International Business Machines Corporation | Processing electronic communications to promote achievement |
US11238656B1 (en) | 2019-02-22 | 2022-02-01 | Consumerinfo.Com, Inc. | System and method for an augmented reality experience via an artificial intelligence bot |
US11941065B1 (en) | 2019-09-13 | 2024-03-26 | Experian Information Solutions, Inc. | Single identifier platform for storing entity data |
US20210400050A1 (en) * | 2020-06-19 | 2021-12-23 | Peter L. Rex | Dynamic trust connection signal |
US11553188B1 (en) | 2020-07-14 | 2023-01-10 | Meta Platforms, Inc. | Generating adaptive digital video encodings based on downscaling distortion of digital video conient |
CN112291583B (en) * | 2020-10-29 | 2022-12-27 | 北京达佳互联信息技术有限公司 | Live broadcast and microphone connecting method and device, server, terminal and storage medium |
US20230153884A1 (en) | 2021-11-17 | 2023-05-18 | Meta Platforms Technologies, Llc | Cross-platform Facilitation of Application Installation for VR Systems |
US20230162447A1 (en) | 2021-11-24 | 2023-05-25 | Meta Platforms, Inc. | Regionally enhancing faces in a digital video stream |
US20230259193A1 (en) | 2022-02-15 | 2023-08-17 | Meta Platforms Technologies, Llc | Providing guidance regarding content viewed via augmented reality devices |
US20230283878A1 (en) * | 2022-03-07 | 2023-09-07 | Meta Platforms Technologies, Llc | Smart Cameras Enabled by Assistant Systems |
US20230317116A1 (en) | 2022-04-05 | 2023-10-05 | Meta Platforms, Inc. | Facilitating collaboration on video media items |
Family Cites Families (100)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6029195A (en) * | 1994-11-29 | 2000-02-22 | Herz; Frederick S. M. | System for customized electronic identification of desirable objects |
US5937413A (en) | 1994-11-30 | 1999-08-10 | Electronics And Telecommunications Research Institure | Data audits based on timestamp criteria in replicated data bases within digital mobile telecommunication system |
US6029141A (en) | 1997-06-27 | 2000-02-22 | Amazon.Com, Inc. | Internet-based customer referral system |
US6963850B1 (en) * | 1999-04-09 | 2005-11-08 | Amazon.Com, Inc. | Computer services for assisting users in locating and evaluating items in an electronic catalog based on actions performed by members of specific user communities |
US7013292B1 (en) | 1999-06-10 | 2006-03-14 | Felicite.Com Inc. | Method and system for universal gift registry |
JP2001312497A (en) * | 2000-04-28 | 2001-11-09 | Yamaha Corp | Content generating device, content distribution system, device and method for content reproduction, and storage medium |
US7725525B2 (en) * | 2000-05-09 | 2010-05-25 | James Duncan Work | Method and apparatus for internet-based human network brokering |
GB2371178B (en) * | 2000-08-22 | 2003-08-06 | Symbian Ltd | A method of enabling a wireless information device to access data services |
US20070112645A1 (en) * | 2000-10-11 | 2007-05-17 | Ebay Inc. | Sales system with sales activity feedback |
WO2002076003A2 (en) * | 2001-03-19 | 2002-09-26 | Imesh Ltd. | System and method for peer-to-peer file exchange mechanism from multiple sources |
CA2388150A1 (en) * | 2002-05-29 | 2003-11-29 | Ibm Canada Limited-Ibm Canada Limitee | Toggleable widget for a user interface |
US20030225632A1 (en) * | 2002-05-30 | 2003-12-04 | Vincent Tong | Method and system for providing personalized online shopping service |
US20060184617A1 (en) * | 2005-02-11 | 2006-08-17 | Nicholas Frank C | Method and system for the creating, managing, and delivery of feed formatted content |
US7249123B2 (en) | 2002-10-31 | 2007-07-24 | International Business Machines Corporation | System and method for building social networks based on activity around shared virtual objects |
US20040088177A1 (en) * | 2002-11-04 | 2004-05-06 | Electronic Data Systems Corporation | Employee performance management method and system |
EP1573592A4 (en) * | 2002-11-15 | 2008-06-11 | Bigchampagne Llc | Monitor file storage and transfer on a peer-to-peer network |
US7472110B2 (en) * | 2003-01-29 | 2008-12-30 | Microsoft Corporation | System and method for employing social networks for information discovery |
US7480867B1 (en) * | 2003-03-31 | 2009-01-20 | Unisys Corporation | Logistic management system having user interface with customizable data fields |
US7069308B2 (en) * | 2003-06-16 | 2006-06-27 | Friendster, Inc. | System, method and apparatus for connecting users in an online computer system based on their relationships within social networks |
EP1683033A4 (en) * | 2003-10-24 | 2008-05-07 | Caringfamily Llc | Influencing communications among a social support network |
US20050154639A1 (en) * | 2004-01-09 | 2005-07-14 | Zetmeir Karl D. | Business method and model for integrating social networking into electronic auctions and ecommerce venues. |
US8015119B2 (en) * | 2004-01-21 | 2011-09-06 | Google Inc. | Methods and systems for the display and navigation of a social network |
US8612359B2 (en) * | 2004-01-29 | 2013-12-17 | Yahoo! Inc. | Method and system for sharing portal subscriber information in an online social network |
US7707122B2 (en) * | 2004-01-29 | 2010-04-27 | Yahoo ! Inc. | System and method of information filtering using measures of affinity of a relationship |
US7885901B2 (en) * | 2004-01-29 | 2011-02-08 | Yahoo! Inc. | Method and system for seeding online social network contacts |
US7269590B2 (en) * | 2004-01-29 | 2007-09-11 | Yahoo! Inc. | Method and system for customizing views of information associated with a social network user |
US20050177358A1 (en) * | 2004-02-10 | 2005-08-11 | Edward Melomed | Multilingual database interaction system and method |
JP2005227894A (en) * | 2004-02-10 | 2005-08-25 | Sony Corp | Data recording method, data recording device, and data recording system |
US20050198305A1 (en) * | 2004-03-04 | 2005-09-08 | Peter Pezaris | Method and system for associating a thread with content in a social networking environment |
US20050198031A1 (en) * | 2004-03-04 | 2005-09-08 | Peter Pezaris | Method and system for controlling access to user information in a social networking environment |
US20050197846A1 (en) * | 2004-03-04 | 2005-09-08 | Peter Pezaris | Method and system for generating a proximity index in a social networking environment |
EP1738323A4 (en) * | 2004-03-15 | 2009-02-04 | Aol Llc | Sharing social network information |
US20050216550A1 (en) * | 2004-03-26 | 2005-09-29 | Paseman William G | Communication mode and group integration for social networks |
JP2008500750A (en) * | 2004-05-12 | 2008-01-10 | フュージョンワン インコーポレイテッド | Advanced contact identification system |
US7689452B2 (en) * | 2004-05-17 | 2010-03-30 | Lam Chuck P | System and method for utilizing social networks for collaborative filtering |
WO2005116979A2 (en) * | 2004-05-17 | 2005-12-08 | Visible Path Corporation | System and method for enforcing privacy in social networks |
US8010458B2 (en) * | 2004-05-26 | 2011-08-30 | Facebook, Inc. | System and method for managing information flow between members of an online social network |
US7359894B1 (en) * | 2004-06-30 | 2008-04-15 | Google Inc. | Methods and systems for requesting and providing information in a social network |
WO2006011819A1 (en) * | 2004-07-30 | 2006-02-02 | Eurekster, Inc. | Adaptive search engine |
US7890871B2 (en) * | 2004-08-26 | 2011-02-15 | Redlands Technology, Llc | System and method for dynamically generating, maintaining, and growing an online social network |
US8010460B2 (en) * | 2004-09-02 | 2011-08-30 | Linkedin Corporation | Method and system for reputation evaluation of online users in a social networking scheme |
US7707167B2 (en) * | 2004-09-20 | 2010-04-27 | Microsoft Corporation | Method, system, and apparatus for creating a knowledge interchange profile |
CA2580850A1 (en) * | 2004-09-21 | 2006-03-30 | Netomat, Inc. | Mobile messaging system and method |
US20060080613A1 (en) * | 2004-10-12 | 2006-04-13 | Ray Savant | System and method for providing an interactive social networking and role playing game within a virtual community |
US11283885B2 (en) * | 2004-10-19 | 2022-03-22 | Verizon Patent And Licensing Inc. | System and method for location based matching and promotion |
KR20090128582A (en) * | 2004-10-19 | 2009-12-15 | 야후! 인크. | System and method for location based social networking |
US7409362B2 (en) * | 2004-12-23 | 2008-08-05 | Diamond Review, Inc. | Vendor-driven, social-network enabled review system and method with flexible syndication |
US20060143183A1 (en) * | 2004-12-23 | 2006-06-29 | Goldberg Adam J | System and method for providing collection sub-groups |
US7716300B2 (en) * | 2005-02-22 | 2010-05-11 | Microsoft Corporation | Systems and methods to facilitate self regulation of social networks through trading and gift exchange |
US20060194186A1 (en) * | 2005-02-28 | 2006-08-31 | Amit Nanda | Method and apparatus for automatically grouping within a networking database and system for parents |
KR100690021B1 (en) * | 2005-03-15 | 2007-03-08 | 엔에이치엔(주) | Online human network management system and method for stimulating users to build various faces of relation |
US20060218225A1 (en) * | 2005-03-28 | 2006-09-28 | Hee Voon George H | Device for sharing social network information among users over a network |
US20060256008A1 (en) * | 2005-05-13 | 2006-11-16 | Outland Research, Llc | Pointing interface for person-to-person information exchange |
US20060229063A1 (en) * | 2005-04-12 | 2006-10-12 | Microsoft Corporation | Systems and methods automatically updating contact information |
US7620902B2 (en) * | 2005-04-20 | 2009-11-17 | Microsoft Corporation | Collaboration spaces |
US7451161B2 (en) * | 2005-04-28 | 2008-11-11 | Friendster, Inc. | Compatibility scoring of users in a social network |
US20060248573A1 (en) * | 2005-04-28 | 2006-11-02 | Content Guard Holdings, Inc. | System and method for developing and using trusted policy based on a social model |
JP2006317575A (en) * | 2005-05-11 | 2006-11-24 | Matsushita Electric Ind Co Ltd | Audio decoding device |
KR100744724B1 (en) * | 2005-06-24 | 2007-08-01 | (주)뮤직소프트 | System for managing online record shop and method for the same |
US20070124493A1 (en) * | 2005-10-07 | 2007-05-31 | The Board Of Trustees Of The Leland Stanford Jr. University | System and Method for Ordering Content for User Review |
AU2006326015A1 (en) | 2005-12-14 | 2007-06-21 | Facebook, Inc. | Systems and methods for social mapping |
US8296373B2 (en) | 2007-02-02 | 2012-10-23 | Facebook, Inc. | Automatically managing objectionable behavior in a web-based social network |
US8171128B2 (en) | 2006-08-11 | 2012-05-01 | Facebook, Inc. | Communicating a newsfeed of media content based on a member's interactions in a social network environment |
US7945653B2 (en) | 2006-10-11 | 2011-05-17 | Facebook, Inc. | Tagging digital media |
US8549651B2 (en) | 2007-02-02 | 2013-10-01 | Facebook, Inc. | Determining a trust level in a social network environment |
US20080189292A1 (en) | 2007-02-02 | 2008-08-07 | Jed Stremel | System and method for automatic population of a contact file with contact content and expression content |
US8027943B2 (en) | 2007-08-16 | 2011-09-27 | Facebook, Inc. | Systems and methods for observing responses to invitations by users in a web-based social network |
US7669123B2 (en) | 2006-08-11 | 2010-02-23 | Facebook, Inc. | Dynamically providing a news feed about a user of a social network |
US8225376B2 (en) | 2006-07-25 | 2012-07-17 | Facebook, Inc. | Dynamically generating a privacy summary |
US8402094B2 (en) | 2006-08-11 | 2013-03-19 | Facebook, Inc. | Providing a newsfeed based on user affinity for entities and monitored actions in a social network environment |
US20090049127A1 (en) | 2007-08-16 | 2009-02-19 | Yun-Fang Juan | System and method for invitation targeting in a web-based social network |
US8204952B2 (en) | 2007-02-02 | 2012-06-19 | Facebook, Inc. | Digital file distribution in a social network system |
US7809805B2 (en) | 2007-02-28 | 2010-10-05 | Facebook, Inc. | Systems and methods for automatically locating web-based social network members |
US7797256B2 (en) | 2006-08-02 | 2010-09-14 | Facebook, Inc. | Generating segmented community flyers in a social networking system |
US7827208B2 (en) | 2006-08-11 | 2010-11-02 | Facebook, Inc. | Generating a feed of stories personalized for members of a social network |
AU2006330852A1 (en) | 2005-12-23 | 2007-07-05 | Facebook, Inc. | Systems and methods for generating a social timeline |
US8166061B2 (en) * | 2006-01-10 | 2012-04-24 | Aol Inc. | Searching recent content publication activity |
US7756720B2 (en) * | 2006-01-25 | 2010-07-13 | Fameball, Inc. | Method and system for the objective quantification of fame |
US20080040428A1 (en) | 2006-04-26 | 2008-02-14 | Xu Wei | Method for establishing a social network system based on motif, social status and social attitude |
US8856019B2 (en) * | 2006-05-24 | 2014-10-07 | True[X] Media Inc. | System and method of storing data related to social publishers and associating the data with electronic brand data |
US20080010343A1 (en) * | 2006-05-24 | 2008-01-10 | Digital Sports, Inc. | Method of providing a digital athlete profile |
US7792903B2 (en) * | 2006-05-31 | 2010-09-07 | Red Hat, Inc. | Identity management for open overlay for social networks and online services |
US7822762B2 (en) * | 2006-06-28 | 2010-10-26 | Microsoft Corporation | Entity-specific search model |
US7849079B2 (en) * | 2006-07-31 | 2010-12-07 | Microsoft Corporation | Temporal ranking of search results |
US20080086261A1 (en) | 2006-09-15 | 2008-04-10 | Icebreaker, Inc. | Location-based social interaction network |
US20080126411A1 (en) * | 2006-09-26 | 2008-05-29 | Microsoft Corporation | Demographic prediction using a social link network |
US8812582B2 (en) * | 2006-11-30 | 2014-08-19 | Red Hat, Inc. | Automated screen saver with shared media |
US8671114B2 (en) * | 2006-11-30 | 2014-03-11 | Red Hat, Inc. | Search results weighted by real-time sharing activity |
US7752553B2 (en) * | 2006-12-01 | 2010-07-06 | Red Hat, Inc. | Method and system for aggregating and displaying an event stream |
WO2008094168A1 (en) | 2007-02-02 | 2008-08-07 | Facebook, Inc. | System and method for giving gifts and displaying assets in a social network environment |
US8832556B2 (en) | 2007-02-21 | 2014-09-09 | Facebook, Inc. | Systems and methods for implementation of a structured query language interface in a distributed database environment |
US8136145B2 (en) | 2007-03-13 | 2012-03-13 | Facebook, Inc. | Network authentication for accessing social networking system information by a third party application |
US7827265B2 (en) | 2007-03-23 | 2010-11-02 | Facebook, Inc. | System and method for confirming an association in a web-based social network |
US20090048922A1 (en) | 2007-05-08 | 2009-02-19 | Morgenstern Jared S | Systems and methods for classified advertising in an authenticated web-based social network |
WO2008147548A1 (en) | 2007-05-24 | 2008-12-04 | Facebook, Inc. | Personalized platform for accessing internet applications |
US8627506B2 (en) | 2007-05-24 | 2014-01-07 | Facebook, Inc. | Providing privacy settings for applications associated with a user profile |
WO2008147572A1 (en) | 2007-05-31 | 2008-12-04 | Facebook, Inc. | Systems and methods for auction based polling |
US20090049070A1 (en) | 2007-08-15 | 2009-02-19 | Arieh Steinberg | Web-based social network badges |
US8732846B2 (en) | 2007-08-15 | 2014-05-20 | Facebook, Inc. | Platform for providing a social context to software applications |
US8887066B1 (en) | 2008-04-02 | 2014-11-11 | Facebook, Inc. | Communicating plans for users of a social networking system |
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- 2006-08-11 US US11/503,093 patent/US8402094B2/en active Active
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- 2007-08-07 WO PCT/US2007/017578 patent/WO2008021104A2/en active Application Filing
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