WO2012032535A1 - An intelligent portable e-book/ e- reader - Google Patents

An intelligent portable e-book/ e- reader Download PDF

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Publication number
WO2012032535A1
WO2012032535A1 PCT/IN2011/000555 IN2011000555W WO2012032535A1 WO 2012032535 A1 WO2012032535 A1 WO 2012032535A1 IN 2011000555 W IN2011000555 W IN 2011000555W WO 2012032535 A1 WO2012032535 A1 WO 2012032535A1
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WO
WIPO (PCT)
Prior art keywords
user
content
personalization
book
engine
Prior art date
Application number
PCT/IN2011/000555
Other languages
French (fr)
Inventor
Anuroop Iyengar
Original Assignee
Anuroop Iyengar
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication of WO2012032535A1 publication Critical patent/WO2012032535A1/en

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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

Definitions

  • the invention relates to a portable computer system or an e-Book/eReader which has the capability to closely follow, track, understand and finally respond to day-to-day needs of its owner, in terms of content requirement either for educational or recreational purposes. Furthermore, the system is designed to gather electronic reading (which could include audio- visuals) material that adjusts and behaves in a fashion that complements and enhances learning capability of the user. BACKGROUND OF THE INVENTION
  • recommendation engines are highly specific to the nature of data they deal with & to the domain being applied to.
  • a recommendation engine for movie recommendation is most likely to be different from a book recommendation system or a consumer product recommendation system. They are also popularly referred to as 'comparative shopping' systems on the internet.
  • US7748634 is a prior art invention titled "Handheld electronic book reader device having dual displays” which deals with presenting visible representations of textual or graphic content related to the electronic book.
  • US6947922 is a prior art invention titled “Recommender system and method for generating implicit ratings based on user interactions with handheld devices” which deals with recommender systems associated with handheld devices for the purpose of providing personalized services.
  • US7236966 is a prior art invention titled “Method and system for providing a user-customized electronic book” which enables an individual to selectively choose an area(s) of interest and automatically scan a database to intelligently retrieve the relevant information and filter out the irrelevant information and collating the relevant to make it available in an electronic "book” format for ease of distribution.
  • US6331867 is a prior art patent titled "Electronic book with automated look-up of terms of within reference titles" which allows users to download books and other types of content to a hand-held reader device for viewing, using software which runs on a personal computer (PC), the user can download titles from Internet sites to the PC.
  • PC personal computer
  • US7747872 is a prior art patent titled "Secure portable electronic reference device" which discloses an electronic reference device that can be connected to an external computer which functions as a dictionary for the reader to look up words as they read and also would be suitable for a portable electronic device.
  • US7103848 is a prior art patent titled “Handheld electronic book reader with annotation and usage tracking capabilities” which relates to a handheld electronic book reader, program product, and method to incorporate enhanced annotation and/or usage tracking capabilities.
  • US5761485 is a prior art patent titled “Personal electronic book system” which replaces a standard handheld book with an electronic equivalent. The invention is sized and configured to be book size and to open like a book for use.
  • US7835989 is a prior art titled “Electronic book alternative delivery systems” which distributes electronic text and graphics to subscribers.
  • US20100066685 is a prior art patent titled “Electronic document reading device” such as an electronic book which presents a document to a user on a display to enable the user to read the document.
  • US20080152639 is a prior art patent titled “Systems and methods for providing an electronic reader having interactive and educational features” that discloses systems and methods for providing an electronic reader having interactive and educational features.
  • US20090257180 is a prior art patent titled "Portable electronic, book system” which deals with portable electronic book system that includes at least one receiving module, a memory module, a processing module, and a display module.
  • US 20030172052 is a prior art patent titled "Conceptual framework and assessment tool for designing a personalized electronic text book and other online educational software" which pertains to the field of electronic publishing and more particularly, the invention pertains to tools for designing a personalized electronic textbook and other online educational software.
  • US 2008222156 is a prior art invention titled “Personalizing handheld electronic book readers” which provides methods that include receiving a command that is input to the electronic book reader device, where the device has been personalized for the particular customer and responding to the command using the personalization information.
  • US20050193335 is a prior art patent titled “Method and system for personalized content conditioning” which teaches methods of conditioning content for instructional and other uses and also to methods for providing augmented materials including, but not limited to, video, audio, animation and graphics for editors or for end users to accompany materials prepared in an educational or instructional settings.
  • KR20090011395 is a prior art patent titled "E-book apparatus, system, server and computer- readable recording medium for providing e-book recommendation service using underline display function" which is provided to transmit an underlined word to an e-book providing server and store the underlined word as a recommendation keyword when an e-book user underlines at least one word in order to. recommend e-book contents.
  • KR 20040049371 is a prior art invention titled "Portable e-book and e-book terminal using the same" which is provided to satisfy the possessiveness for an actual article and the needs for presentation by forming the e-book as the actual article and including various designs for a book to a case of the portable e-book, and read the e-book without the Internet by buying the e-book at an offline shop such as a bookstore.
  • KR 20030032440 is a prior art patent titled "Hybrid device uniting e-book with portable terminal” which deals with hybrid device provided to make it easy uniting an e-book with a portable assistant storage which comprises an e-book and a portable terminal.
  • EP 1981014 is a prior art patent titled "Electronic book with multimedia play function", which deals with an electronic book that includes a main body and an AV play unit.
  • WO 200023926 is a prior art patent titled "Method and apparatus for electronically distributing and viewing digital contents", which deals with distributing digital contents.
  • the digital contents include textual, graphical and pictorial information.
  • At least one portable electronic book is operative to request a digital content from a catalog of distinct digital contents, to receive and display the requested digital content in readable form.
  • W09515649 is a prior art patent titled "Electronic book selection and delivery system and method” which provides a method and system for an electronic book selection and delivery.
  • JP2007102360 is a prior art patent titled "Electronic book device” which provides an electronic book device making a user reading contents of book data hardly to lose a reading portion.
  • the electronic reading materials include audio and visual contents.
  • the portable e-book can be personalized according to user's interest.
  • the personalization engine is used to model the user's understanding and his level of difficulty and handicap for various topics. It is another objective of the invention to track users reading and learning pattern
  • Yet another objective of the invention is to have connectivity to backend content servers for pulling in more content.
  • the system adds those content to the book based on the personalization if any available for the user. Once this is done, the book is packed and delivered to the user.
  • a system for modeling, augmenting and distributing digital contents comprising:
  • One or more server One or more server
  • the personalization engine continuously monitors user reading speed/pattern for dynamically updating the personalization information
  • the personalization is based on user's identifiers, cognition style, cognition pattern and usage of web semantics,
  • the recommendation is based on the information obtained from personalization engine model's, content for a user,
  • the digital contents include audio and visual contents.
  • the content includes base content and supplementary content.
  • the semantic analyzer analyzes both textual and multimedia content.
  • the user's identifiers are user- inputted data.
  • the personalization engine generates a cognition score based on user cognition style and cognition pattern. According to a still further aspect of the present invention, the personalization engine triggers alerts to the recommendation engine based on changes in personal information.
  • the system is connected to backend content server.
  • a method for distributing digital content using concept maps comprising:
  • the digital content is provided with means for explanation and help files.
  • the digital contents include audio and visual contents.
  • the content includes base content and supplementary content.
  • the user's identifiers are user inputted data.
  • Figure 1 Illustrates the components and data flows relating to the portable e-reader/e-book according to the present invention.
  • the present invention is a fundamentally revolutionary concept wherein the device is closely coupled to the owner on a day-to-day basis.
  • a system is for modeling, augmenting and distributing digital contents.
  • the invention is a portable electronic book reader for gathering electronic reading material that adjusts and behaves in a fashion that complements and enhances learning capability of the user. It is possible to personalize the system according to the interest of the users.
  • the system has the capability to closely follow, track, understand and finally respond to day-to-day needs of its owner, in terms of content requirement either for educational or recreational purposes.
  • the system distributes digital contents of a book and other reading/audio-visual materials to the user.
  • the system comprises one or more server; portable digital display device; personalization engine; recommendation engine; content transformation engine and semantic analyzer.
  • the electronic book reader device have at least one processor for processing the data entered by the user and a storage medium which can store the user supplied data, content usage pattern, social activities and user-system interactions.
  • the personalization engine is for obtaining personalization information based on atleast one identifier entered by the user, such as his choice of interest, his previous entries etc. It continuously monitors user reading speed/pattern for dynamically updating the personalization information. It captures hierarchical score for user's understanding on various topics.
  • the personalization is done based on user's identifiers, cognition style, cognition pattern and usage of web semantics.
  • the semantic analyzer analyzes both textual and multimedia content.
  • the system has connectivity to backend content servers for pulling in more content.
  • the recommendation engine in the present invention maps user's behavioural pattern to concept model for content personalization, content augmentation for smooth learning and content suggestions. Recommendation is based on the information obtained from personalization engine models, content for a user.
  • the contents, which are aggregated in the server, are augmented based on the user model by its concept maps. This is achieved by creating combination of the book and a dictionary. It must be noted that term dictionary is used in a loose sense to mean detailed explanation of the terms.
  • the system adds those content to the book based on the personalization if any available for the user. Once this is done, the book is packed and delivered to the user.
  • the augmented content based on user model is transformed for display in the digital display device. At the user end, the user tries to read up the content just like any normal book. Moreover, the user can read the contents of the book just like any ordinary book.
  • the content referred hereinbefore can be base content and supplementary content, which can be any kind of audio and video content.
  • the system has the intelligence to keep a track of the user's behavioural pattern considering the nature of data that includes weekly diary of events, activities marks, grades if he/she is a student provided by each user thereby assessing his learning pattern and content usage pattern.
  • the recommendation done by the system is based on this behavioural pattern.
  • the learner feedback facility available in the system enables better recommendations.
  • the personalization engine generates a cognition score based on user cognition style and cognition pattern. It triggers alerts to the recommendation engine based on changes in personal information.
  • the system also provides for content concept modeling by data mining approach leveraging actual material discussed in electronic form.
  • the system has a predefined arrangement of base content. This is because a standard content may not suit exactly what a user likes/needs. This primarily means skipping certain sections. This corresponds to the usual notion of starred sections.
  • the base content can be complemented with additional content; this would make a lot of sense to some users who are slow learners to smoothen their learning curve.

Abstract

The present invention relates to a portable computer system or an e-Book/eReader and a method for gathering electronic reading material that adjusts and behaves in a fashion that complements and enhances learning capability of the user. The system for modeling, augmenting and distributing digital contents comprising one or more server for aggregating the contents, portable digital display device, personalization engine which continuously monitors user reading speed/pattern for dynamically updating the personalization information, recommendation engine, content transformation engine and semantic analyzer. The personalization is based on user's identifiers, cognition style, cognition pattern and usage of web semantics and the recommendation is based on the information obtained from personalization engine model's, content for a user. The augmented content based on user model is transformed for display in the digital display device.

Description

AN 'INTELLIGENT PORTABLE E-BOOK/E-READER'
FIELD OF INVENTION
The invention relates to a portable computer system or an e-Book/eReader which has the capability to closely follow, track, understand and finally respond to day-to-day needs of its owner, in terms of content requirement either for educational or recreational purposes. Furthermore, the system is designed to gather electronic reading (which could include audio- visuals) material that adjusts and behaves in a fashion that complements and enhances learning capability of the user. BACKGROUND OF THE INVENTION
The concept of recommendation engines has been around for few years. However, recommendation engines are highly specific to the nature of data they deal with & to the domain being applied to. A recommendation engine for movie recommendation is most likely to be different from a book recommendation system or a consumer product recommendation system. They are also popularly referred to as 'comparative shopping' systems on the internet.
Current existing mechanisms and methods for recommendations thus rely on users logging into a website & submitting certain basic details about themselves, which normally is classified as 'demographic data'. Further recommendations is then based on 'users who viewed this item, viewed the following items too' - called as item based recommendations. There are further other such methods known to people familiar with state of art.
Some attempts have been made in the past to overcome the drawbacks of the prior art such as those disclosed in the following:
US7748634 is a prior art invention titled "Handheld electronic book reader device having dual displays" which deals with presenting visible representations of textual or graphic content related to the electronic book. US6947922 is a prior art invention titled "Recommender system and method for generating implicit ratings based on user interactions with handheld devices" which deals with recommender systems associated with handheld devices for the purpose of providing personalized services. US7236966 is a prior art invention titled "Method and system for providing a user-customized electronic book" which enables an individual to selectively choose an area(s) of interest and automatically scan a database to intelligently retrieve the relevant information and filter out the irrelevant information and collating the relevant to make it available in an electronic "book" format for ease of distribution.
US6331867 is a prior art patent titled "Electronic book with automated look-up of terms of within reference titles" which allows users to download books and other types of content to a hand-held reader device for viewing, using software which runs on a personal computer (PC), the user can download titles from Internet sites to the PC.
US7747872 is a prior art patent titled "Secure portable electronic reference device" which discloses an electronic reference device that can be connected to an external computer which functions as a dictionary for the reader to look up words as they read and also would be suitable for a portable electronic device.
US7103848 is a prior art patent titled "Handheld electronic book reader with annotation and usage tracking capabilities" which relates to a handheld electronic book reader, program product, and method to incorporate enhanced annotation and/or usage tracking capabilities. US5761485 is a prior art patent titled "Personal electronic book system" which replaces a standard handheld book with an electronic equivalent. The invention is sized and configured to be book size and to open like a book for use.
US7835989 is a prior art titled "Electronic book alternative delivery systems" which distributes electronic text and graphics to subscribers. US20100066685 is a prior art patent titled "Electronic document reading device" such as an electronic book which presents a document to a user on a display to enable the user to read the document.
US20080152639 is a prior art patent titled "Systems and methods for providing an electronic reader having interactive and educational features" that discloses systems and methods for providing an electronic reader having interactive and educational features.
US20090257180 is a prior art patent titled "Portable electronic, book system" which deals with portable electronic book system that includes at least one receiving module, a memory module, a processing module, and a display module.
US 20030172052 is a prior art patent titled "Conceptual framework and assessment tool for designing a personalized electronic text book and other online educational software" which pertains to the field of electronic publishing and more particularly, the invention pertains to tools for designing a personalized electronic textbook and other online educational software.
US 2008222156 is a prior art invention titled "Personalizing handheld electronic book readers" which provides methods that include receiving a command that is input to the electronic book reader device, where the device has been personalized for the particular customer and responding to the command using the personalization information.
US20050193335 is a prior art patent titled "Method and system for personalized content conditioning" which teaches methods of conditioning content for instructional and other uses and also to methods for providing augmented materials including, but not limited to, video, audio, animation and graphics for editors or for end users to accompany materials prepared in an educational or instructional settings.
KR20090011395 is a prior art patent titled "E-book apparatus, system, server and computer- readable recording medium for providing e-book recommendation service using underline display function" which is provided to transmit an underlined word to an e-book providing server and store the underlined word as a recommendation keyword when an e-book user underlines at least one word in order to. recommend e-book contents.
KR 20040049371 is a prior art invention titled "Portable e-book and e-book terminal using the same" which is provided to satisfy the possessiveness for an actual article and the needs for presentation by forming the e-book as the actual article and including various designs for a book to a case of the portable e-book, and read the e-book without the Internet by buying the e-book at an offline shop such as a bookstore.
KR 20030032440 is a prior art patent titled "Hybrid device uniting e-book with portable terminal" which deals with hybrid device provided to make it easy uniting an e-book with a portable assistant storage which comprises an e-book and a portable terminal.
EP 1981014 is a prior art patent titled "Electronic book with multimedia play function", which deals with an electronic book that includes a main body and an AV play unit.
WO 200023926 is a prior art patent titled "Method and apparatus for electronically distributing and viewing digital contents", which deals with distributing digital contents. The digital contents include textual, graphical and pictorial information. At least one portable electronic book is operative to request a digital content from a catalog of distinct digital contents, to receive and display the requested digital content in readable form.
W09515649 is a prior art patent titled "Electronic book selection and delivery system and method" which provides a method and system for an electronic book selection and delivery. JP2007102360 is a prior art patent titled "Electronic book device" which provides an electronic book device making a user reading contents of book data hardly to lose a reading portion.
However, current state of art does not have a method where exact needs of the user are really mapped, especially in the education space. The computer system described in the invention below addresses these drawbacks using the concept of recommendation systems. OBJECTS OF THE INVENTION
One or more of the problems of the conventional prior art may be overcome by various embodiments of the present invention.
Accordingly, it is the primary object of the present invention to provide a system implemented method for gathering electronic reading material that adjusts and behaves in a fashion that complements and enhances learning capability of the user.
It is another object of the present invention to provide for a portable computer system or an e- Book/eReader.
It is another objective of the invention to have a digitized text version of a book.
It is another object of the present invention, wherein the electronic reading materials include audio and visual contents.
It is another object of the present invention, wherein the system has the capability to closely follow, track, understand and finally respond to day-to-day needs of its owner, in terms of content requirement either for educational or recreational purposes.
It is another object of the present invention, wherein the portable e-book can be personalized according to user's interest.
It is another object of the present invention, which facilitates user automated learning.
It is one objective of the invention to have a pre-defined arrangement of the base content.
It is another objective of the invention to complement the base content with additional matter which can smoothen the learning curve. It is another objective to address issues related to lack of vocabulary by having an augmentation available so that difficult words or phrases may be understood. Many times an abstract concept becomes much more valuable if they are complemented by an actual demo or specimen or some other graphical tool. It is another object of the present invention to have an 'intelligent book' that provide all these facets available into a given book and get them triggered based on the user personalization and machine automated learning of its capability.
It is another objective of the invention to avoid a naive implementation, which will end up having everything packed into the book and thus bloating up the size of the book. It is yet another objective of the invention to avoid a completely minimalist content, which will be the current book itself.
It is another object of the present invention, wherein automated text analysis of a book is possible.
It is another objective of the invention to have a global model of concept map based on a book i.e., collection of concepts are being discussed and talked about in the book.
It is another objective of the invention to have a personalization engine, which practically tries to capture a hierarchical score for user's understanding on various topics.
It is another object of the present invention, wherein the personalization engine is used to model the user's understanding and his level of difficulty and handicap for various topics. It is another objective of the invention to track users reading and learning pattern
Yet another objective of the invention is to have connectivity to backend content servers for pulling in more content.
It is further object of the present invention to have a recommendation engine which maps user's behavioural pattern to concept model for content personalization, content augmentation for smooth learning and content suggestions.
It is further object of the present invention to provide for a computer system which can do all of the above and distribute digital contents of a book and other reading/audio-visual materials. It is another objective of the invention to augment the book by its concept maps once it is obtained. It is another objective of the system to achieve previous objective by creating combination of the book and a dictionary.
It is another objective of the invention after this augmentation, based on prior content that has been pulled by the readers from the content server, the system adds those content to the book based on the personalization if any available for the user. Once this is done, the book is packed and delivered to the user.
It is another object of the present invention, wherein the user can read up the content just like any normal book.
It is another objective of the invention by monitoring his reading speed/patterns, to start triggering textual blobs for keywords or additional sections to smoothen his learning curve.
It is another objective of the invention by which dynamic objects, which may be audio-visuals can be inserted into the text, to smoothen the learning curve.
It is another objective of the system to track user behavioural patterns by mining his upcoming weekly diary of events, activities. It is another objective of the system to track user behavioural patterns by mining his assessment marks, grades if he/she is a student.
It is another object of the present invention wherein the system tracks user behavioural pattern by mining his machine-learning pattern, data mining approach leveraging the user supplied data, content usage pattern, social activities and user-system interactions.
It is another object of the present invention, wherein the system provides for content concept modeling by data mining approach leveraging actual material discussed in electronic form. It is another object of the present invention, wherein the system provides for learner feedback facility, which enables better recommendations. SUMMARY OF INVENTION
Thus according to the basic aspect of the present invention there is provided a system for modeling, augmenting and distributing digital contents comprising:
One or more server;
Portable digital display device;
Personalization engine;
Recommendation engine;
Content transformation engine; and
Semantic analyzer,
wherein the personalization engine continuously monitors user reading speed/pattern for dynamically updating the personalization information,
wherein the personalization is based on user's identifiers, cognition style, cognition pattern and usage of web semantics,
wherein the recommendation is based on the information obtained from personalization engine model's, content for a user,
wherein the contents are aggregated in the server,
wherein based on the user model content is augmented, and
wherein the augmented content based on user model is transformed for display in the digital display device. According to another aspect of the present invention, the digital contents include audio and visual contents.
According to another aspect of the present invention, the content includes base content and supplementary content. According to yet another aspect of the present invention, the semantic analyzer analyzes both textual and multimedia content.
According to yet aspects of the present invention, the user's identifiers are user- inputted data.
According to further aspect of the present invention, the personalization engine generates a cognition score based on user cognition style and cognition pattern. According to a still further aspect of the present invention, the personalization engine triggers alerts to the recommendation engine based on changes in personal information.
In the above invention, the system is connected to backend content server.
According to another aspect of the present invention, a method is disclosed for distributing digital content using concept maps, comprising:
Creating a global model of concepts that are based on user's identifiers, user's cognitive style, cognitive pattern and usage of web semantic;
Analyzing the concepts of the existing digital content; and
Augmenting the digital content based on the global model of concept map.
In the above method, during augmentation, the digital content is provided with means for explanation and help files.
In accordance with another aspect, the digital contents include audio and visual contents.
According to a still further aspect, the content includes base content and supplementary content.
In the above method, the user's identifiers are user inputted data.
BRIEF DESCRIPTION OF THE DRAWING
Figure 1 : Illustrates the components and data flows relating to the portable e-reader/e-book according to the present invention.
DETAILED DESCRIPTION OF THE INVENTION WITH REFERENCE TO THE ACCOMPANYING DRAWING
Thus as discussed hereinbefore, the present invention is a fundamentally revolutionary concept wherein the device is closely coupled to the owner on a day-to-day basis. According to the present invention, there is provided a system is for modeling, augmenting and distributing digital contents. The invention is a portable electronic book reader for gathering electronic reading material that adjusts and behaves in a fashion that complements and enhances learning capability of the user. It is possible to personalize the system according to the interest of the users. The system has the capability to closely follow, track, understand and finally respond to day-to-day needs of its owner, in terms of content requirement either for educational or recreational purposes. The system distributes digital contents of a book and other reading/audio-visual materials to the user.
Reference is now invited to the accompanying figure 1, which illustrates the components and data flows relating to the system involved in the present invention. The system, according to the present invention system comprises one or more server; portable digital display device; personalization engine; recommendation engine; content transformation engine and semantic analyzer. The electronic book reader device have at least one processor for processing the data entered by the user and a storage medium which can store the user supplied data, content usage pattern, social activities and user-system interactions. The personalization engine is for obtaining personalization information based on atleast one identifier entered by the user, such as his choice of interest, his previous entries etc. It continuously monitors user reading speed/pattern for dynamically updating the personalization information. It captures hierarchical score for user's understanding on various topics. It also models the user's understanding and his level of difficulty for various topics. The personalization is done based on user's identifiers, cognition style, cognition pattern and usage of web semantics. The semantic analyzer analyzes both textual and multimedia content. The system has connectivity to backend content servers for pulling in more content. The recommendation engine in the present invention maps user's behavioural pattern to concept model for content personalization, content augmentation for smooth learning and content suggestions. Recommendation is based on the information obtained from personalization engine models, content for a user.
The above features of the invention are achieved by working of the present invention in the following manner:
The contents, which are aggregated in the server, are augmented based on the user model by its concept maps. This is achieved by creating combination of the book and a dictionary. It must be noted that term dictionary is used in a loose sense to mean detailed explanation of the terms. After this augmentation, based on prior content that has been pulled by the readers from the content server, the system adds those content to the book based on the personalization if any available for the user. Once this is done, the book is packed and delivered to the user. The augmented content based on user model is transformed for display in the digital display device. At the user end, the user tries to read up the content just like any normal book. Moreover, the user can read the contents of the book just like any ordinary book. The content referred hereinbefore can be base content and supplementary content, which can be any kind of audio and video content.
The system has the intelligence to keep a track of the user's behavioural pattern considering the nature of data that includes weekly diary of events, activities marks, grades if he/she is a student provided by each user thereby assessing his learning pattern and content usage pattern. The recommendation done by the system is based on this behavioural pattern. The learner feedback facility available in the system enables better recommendations. The personalization engine generates a cognition score based on user cognition style and cognition pattern. It triggers alerts to the recommendation engine based on changes in personal information. The system also provides for content concept modeling by data mining approach leveraging actual material discussed in electronic form.
The system has a predefined arrangement of base content. This is because a standard content may not suit exactly what a user likes/needs. This primarily means skipping certain sections. This corresponds to the usual notion of starred sections. The base content can be complemented with additional content; this would make a lot of sense to some users who are slow learners to smoothen their learning curve.

Claims

I CLAIM:
1. A system for modeling, augmenting and distributing digital contents comprising:
One or more server;
Portable digital display device;
Personalization engine;
Recommendation engine;
Content transformation engine; and
Semantic analyzer,
wherein the personalization engine , continuously monitors user reading speed/pattern for dynamically updating the personalization information,
wherein the personalization is based on user's identifiers, cognition style, cognition pattern and usage of web semantics, wherein the recommendation is based on the information obtained from personalization engine model's, content for a user, wherein the contents are aggregated in the server, wherein based on the user model content is augmented, and wherein the augmented content based on user model is transformed for display in the digital display device.
2. The system as claimed in claim 1, wherein the digital contents include audio and visual contents.
3. The system as claimed in claim 1 , wherein the content includes base content and supplementary content.
4. The system as claimed in claim 1 , wherein the semantic analyzer analyzes both textual and multimedia content.
5. The system as claimed in claim 1 , wherein the user's identifiers are user inputted data.
6. The system as claimed in claim 1, wherein the personalization engine generates a cognition score based on user cognition style arid cognition pattern.
7. The system as claimed in claims 1 and 6, wherein the personalization engine triggers alerts to the recommendation engine based on changes in personal information.
8. The system as claimed in anyone of claims 1 to 7, wherein the system is connected to backend content server.
9. A method for distributing digital content using concept maps, comprising:
Creating a global model of concepts that are based on user's identifiers, user's cognitive style, cognitive pattern and usage of web semantic;
Analyzing the concepts of the existing digital content; and
Augmenting the digital content based on the global model of concept map.
10. The method as claimed in claim 9, wherein during augmentation, the digital content is provided with means for explanation and help files.
11. The method as claimed in claims 9 and 10, wherein the digital contents include audio and visual contents.
12. The method as claimed in claim 1 1, wherein the content includes base content and supplementary content.
13. The method as claimed in claim 9, wherein the user's identifiers are user inputted data.
PCT/IN2011/000555 2010-09-08 2011-08-19 An intelligent portable e-book/ e- reader WO2012032535A1 (en)

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IN601/CHE/2010 2010-09-08
IN601CH2010 2010-09-08

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Cited By (2)

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