Evaluation of content based on user activities

摘要

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.

主权项

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.