AUTOMATED IDENTIFICATION OF HIGH/LOW VALUE CONTENT BASED ON SOCIAL FEEDBACK

• US 20080133638A1
• Filed: 11/30/2006
• Published: 06/05/2008
• Est. Priority Date: 11/30/2006
• Status: Active Grant

• Current Assignee: Red Hat, Inc. (International Business Machines Corporation)
• Original Assignee: Red Hat, Inc. (International Business Machines Corporation)
• Inventors: Clark, Bryan, Fischer, Donald, Pennington, Havoc
• Granted Patent: US 8,176,191 B2
• Time in Patent Office: Days
• US Class Current: 709/201
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/25883 being end-user demographical data, e.g. age, family status or address arrangements for identifying locations of users in broadcast systems H04H60/52
• CPC Class Codes: H04N 21/44226 on social networks
• CPC Class Codes: H04N 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38

Abstract

Embodiments of the present invention provide an automated scheme for identifying high/low value content. Playback data from users in a social network may be periodically submitted by users of the social network. The playback data indicates segments of content, such as audio or video that the user has skipped over or tagged as low value. The playback data may also indicate segments of content that the user has repeated or tagged as high value. The playback data is then analyzed in aggregate and various clips are identified. In addition, the playback data may be compiled and organized among the users for future use. The playback data may be used to indicate segments of high/low interest to peers in the social network or to arbitrary users.

Claims

1. A method of identifying high or low value content based on feedback from a plurality of users, said method comprising:

receiving playback data submitted by users of a social network service that indicates playback behavior of the users;

determining correlations among the playback data submitted by the users;

determining segments in the content based on the correlations in the collected playback data; and

providing data that indicates the segments of the content to the users.

2. The method of claim 1, wherein receiving playback data submitted by users comprises receiving playback data that indicates active tagging by the users of segments in the content.

3. The method of claim 1, wherein determining correlations among the playback data comprises:

aggregating the playback data for the same content; and

determining start and end times of segments based on the aggregated playback data.

4. The method of claim 1, wherein determining correlations among the playback data comprises:

aggregating the playback data for the same content from users in a social network of the social network service; and

determining start and end times of the segments based on the aggregated playback data from the users in the social network.

5. The method of claim 1, wherein determining correlations among the playback data comprises:

aggregating the playback data for the same content from users that identify themselves as peers in the social network service; and

determining start and end times of the segments based on the aggregated playback data.

6. An apparatus comprising means configured to perform the method of claim 1.

7. A computer readable medium comprising executable program code to configure a computer to perform the method of claim 1.

8. A method of extracting content from a media file based on feedback from a plurality of users in a social network service, said method comprising:

receiving playback data submitted by users that indicates playback behavior of the users;

determining respective boundaries for segments based on the collected playback data;

determining relative values of segments based on the playback data;

selecting segments in the content based on the collected playback data and the relative value; and

providing data that indicates the segments in the content to users of the social network service.

9. The method of claim 8, wherein receiving playback data submitted by users comprises receiving playback data that indicates active tagging by the users of segments in the content.

10. The method of claim 8, wherein determining boundaries for segments comprises:

aggregating the playback data for the same content; and

determining start and end times of segments based on the aggregated playback data.

11. The method of claim 8, wherein determining boundaries for segments comprises:

aggregating the playback data for the same content from users in a social network of the social network service; and

determining start and end times of the segments based on the aggregated playback data from the users in the social network.

12. The method of claim 8, wherein determining boundaries for segments comprises:

aggregating the playback data for the same content from users that identify themselves as peers in the social network service; and

determining start and end times of the segments based on the aggregated playback data.

13. The method of claim 8, wherein determining relative values of segments based on the playback data comprises:

identifying whether users have repeated playback of the segment based on the playback data; and

assigning high relative values to segments that users have repeated playback.

14. The method of claim 8, wherein determining relative values of segments based on the playback data comprises:

identifying whether users have actively tagged at least a portion of the segments; and

assigning high relative values to segments that users have actively tagged.

15. The method of claim 8, wherein determining relative values of segments based on the playback data comprises:

identifying whether users have skipped at least a portion of the segments; and

assigning low relative values to segments that users have skipped.

16. The method of claim 8, wherein determining relative values of segments based on the playback data comprises:

identifying whether users have actively tagged at least a portion of the segments; and

assigning low relative values to segments that users have actively tagged.

17. The method of claim 8, wherein providing data that indicates the segments in the content to users of the social network service comprises providing the data that indicates the segments to users in a social network of the social network service.

18. The method of claim 8, wherein providing data that indicates the segments in the content to users of the social network service comprises providing the data that indicates the segments to users that identify themselves as peers in the social network service.

19. An apparatus comprising means configured to perform the method of claim 8.

20. A computer readable medium comprising executable program code to configure a computer to perform the method of claim 8.