Evaluation of content based on user activities

• US 9,553,938 B2
• Filed: 02/03/2012
• Issued: 01/24/2017
• 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: Fischer, Donald, Pennington, Havoc, Clark, Bryan
• Primary Examiner(s): Nguyen, Quang N
• Application Number:
  US13/366,204
• Publication Number:
  US 20120136937A1
• Time in Patent Office: 1,817 Days
• Field of Search: 709/203, 709/217, 725/93, 725/134, 725/235, 707/5, 707/748, 707/1, 707/802, 707/914, 707/999.101, 706/16, 345/721, 705/7.32, 715/230
• US Class Current: 1/1
• 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 comprising:

receiving a plurality of tags corresponding to playback behavior of a respective plurality of users to a segment of content, wherein each of the plurality of tags indicates one of a first interest value of the segment of content or a second interest value of the segment of content in view of the playback behavior;

determining a duration of the segment of content in view of the playback behavior of the respective plurality of users to the segment of content and a social network associated with the respective plurality of users, wherein the duration of the segment of content is different for different users of the respective plurality of users associated with the social network; and

assigning, by a processor, an interest level to the segment of content in view of the duration of the segment and an aggregation of the plurality of tags corresponding to the playback behavior of the respective plurality of users.

2. The method of claim 1, wherein the first interest value is a high interest value and the second interest value is a low interest value, and wherein the interest level is one of a high interest level or a low interest level.

3. The method of claim 1, wherein the assigning of the interest level is further in view of a number of the respective plurality of users that have tagged the segment.

4. The method of claim 1, wherein the determining of the duration of the segment comprises:

determining start and end times of the segment.

5. The method of claim 4, wherein determining of the duration of the segment further comprises determining the start and end times of the segment in view of playback data associated with the content.

6. The method of claim 1, wherein the playback data is collected from users of the social network.

7. The method of claim 1, wherein the content comprises video.

8. A system comprising:

a memory to store a plurality of tags corresponding to playback behavior of a respective plurality of users;

a processor operatively coupled to the memory, the processor to;

receive the plurality of tags corresponding to playback behavior of the respective plurality of users to a segment of content, wherein each of the plurality of tags indicates one of a first interest value of the segment of content or a second interest value of the segment of content in view of the playback behavior;

determine a duration of the segment of content in view of the playback behavior of the respective plurality of users to the segment of content and a social network associated with the respective plurality of users, wherein the duration of the segment of content is different for different users of the respective plurality of users associated with the social network; and

assign an interest level to the segment of content in view of the duration of the segment and an aggregation of the plurality of tags corresponding to the playback behavior of the respective plurality of users.

9. The system of claim 8, wherein the first interest value is a high interest value and the second interest value is a low interest value, and wherein the interest level is one of a high interest level or a low interest level.

10. The system of claim 8, wherein the processor is to assign the interest level further in view of a number of the respective plurality of users that have tagged the segment.

11. The system of claim 8, wherein to determine the duration of the segment, the processor is further to:

determine start and end times of the segment.

12. The system of claim 11, wherein to determine the duration of the segment, the processor is further to determine the start and end times of the segment in view of playback data associated with the content.

13. The system of claim 8, wherein the playback data is collected from users of the social network.

14. The system of claim 8, wherein the content comprises video.

15. A non-transitory computer-readable medium having instructions that, when executed by a processor, cause the processor to:

receive a plurality of tags corresponding to playback behavior of a respective plurality of users to a segment of content, wherein each of the plurality of tags indicates one of a first interest value of the segment of content or a second interest value of the segment of content in view of the playback behavior;

determine a duration of the segment of content in view of the playback behavior of the respective plurality of users to the segment of content and a social network associated with the respective plurality of users, wherein the duration of the segment of content is different for different users of the respective plurality of users associated with the social network; and

assign, by the processor, an interest level to the segment of content in view of the duration of the segment and an aggregation of the plurality of tags corresponding to the playback behavior of the respective plurality of users.

16. The non-transitory computer-readable medium of claim 15, wherein the first interest value is a high interest value and the second interest value is a low interest value, and wherein the interest level is one of a high interest level or a low interest level.

17. The non-transitory computer-readable medium of claim 15, wherein the assigning of the interest level is further in view of a number of users that have tagged the segment.

18. The non-transitory computer-readable medium of claim 15, wherein to determine the duration of the segment, the processor is further to:

determine start and end times of the segment.

19. The non-transitory computer-readable medium of claim 15, wherein to determine the duration of the segment, the processor is further to determine the start and end times of the segment in view of playback data associated with the content collected from users of the social network.

20. The non-transitory computer-readable medium of claim 15, wherein the content comprises video.