METHODS, SYSTEMS, AND COMPUTER PROGRAM PRODUCTS FOR DETECTING AND PREDICTING USER CONTENT INTEREST

• US 20090083141A1
• Filed: 09/25/2007
• Published: 03/26/2009
• Est. Priority Date: 09/25/2007
• Status: Abandoned Application

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Craine, Ari
• Application Number:
  US11/860,790
• Publication Number:
  US 20090083141A1
• Time in Patent Office: Days
• US Class Current: 705/14.690
• CPC Class Codes: G06F 16/435 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/4387 by the use of playlists
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising

Abstract

Methods, systems and computer program products detect and predict user content interest include receiving user consumption artifacts from one or more behavioral sources. The received user content consumption artifacts are analyzed by an interest engine and a user-specific content interest list and a potential content playlist are generated for a particular user. The user content interest list is a listing of the types of content the particular user is interested in. The potential content playlist identifies currently available content that is of interest to the user. The content interest list and potential content playlist are communicated to the user. Future content that matches a user-specific content interest list is identified and the user is alerted to the identified future content. Hypothetical content that a user might be interested and would most likely consume if available may also be identified.

Claims

1. A method of detecting and predicting user content interest, the method comprising:

receiving user consumption artifacts from one or more behavioral sources;

analyzing received user consumption artifacts;

generating a user-specific content interest list from the received user consumption artifacts; and

generating a potential content playlist for the user from the user-specific content list, wherein the potential content playlist identifies currently available content that is of potential interest to the user.

2. The method of claim 1, further comprising communicating the content interest list and potential content playlist to the user.

3. The method of claim 1, wherein content includes audio content, video content, and/or text content.

4. The method of claim 1, further comprising:

identifying future content that matches the user-specific content interest list; and

alerting the user of the identified future content.

5. The method of claim 4, wherein alerting the user of identified future content comprises sending a message to one or more user devices that identifies a time and location of the future content.

6. The method of claim 4, wherein alerting the user of identified future content comprises sending a message to via email, via SMS (Short Message Service), and/or via MMS (Multimedia Message Service).

7. The method of claim 4, wherein alerting the user of identified future content comprises sending a message to a user device where the user is currently active.

8. The method of claim 5, wherein the message contains a link to the future content.

9. The method of claim 1, wherein content identified by the potential content playlist is available via a communications network.

10. The method of claim 1, wherein analyzing received user consumption artifacts comprises identifying content the user is most likely to consume.

11. The method of claim 1, wherein analyzing received user consumption artifacts comprises determining the number of occurrences of user consumption artifacts.

12. The method of claim 1, wherein generating a user-specific content interest list comprises generating a user-specific content interest list in prioritized order.

13. The method of claim 1, wherein behavioral sources include online content sources, content sources available via stationary media devices, content sources available via mobile media devices, alert messages of identified future content sent to other users, and content interest lists of other users.

14. The method of claim 1, further comprising identifying hypothetical content the user is most likely to consume.

15. The method of claim 1, further comprising syndicating the content interest list and/or potential content playlist to other users.

16. A computer program product for detecting and predicting user content interest, comprising a computer readable storage medium having encoded thereon instructions that, when executed on a computer, cause the computer to perform the following steps:

receiving user consumption artifacts from one or more behavioral sources;

analyzing received user consumption artifacts;

generating a user-specific content interest list from the received user consumption artifacts; and

generating a potential content playlist for the user from the user-specific content list, wherein the potential content playlist identifies currently available content that is of potential interest to the user.

17. The computer program product of claim 16, wherein the computer readable storage medium has encoded thereon instructions that, when executed on a computer, cause the computer to perform the following steps:

identifying future content that matches the user-specific content interest list; and

alerting the user of the identified future content.

18. The computer program product of claim 16, wherein the computer readable storage medium has encoded thereon instructions that, when executed on a computer, cause the computer to identify hypothetical content the user is most likely to consume.

19. A system for detecting and predicting user content interest, comprising an interest engine configured to receive user consumption artifacts from one or more behavioral sources, to analyze received user consumption artifacts, to generate a user-specific content interest list and a potential content playlist for the user, and to communicate the content interest list and potential content playlist to the user, wherein the content playlist identifies currently available content that is of interest to the user.

20. The system of claim 19, further comprising a subscription service that allows other users to subscribe to the content interest list and/or content playlist of the user.