Video heat maps personalized for online system users

    公开(公告)号:US10409859B2

    公开(公告)日:2019-09-10

    申请号:US15595745

    申请日:2017-05-15

    Applicant: Facebook, Inc.

    Abstract: An online system generates personalized video heat map for a target user, which visually indicates segments of a video likely to be of interest to the target user. The online system divides the video into the segments and identifies actions performed by users other than the target user on each of the segments. The online system determines embedding vectors describing each segment as represented by the identified actions performed on the segment and also determines an embedding vector describing the target user. Based on those embedding vectors, a personalized score for the segment is determined using a trained model. The online system uses the personalized score for each segment of the video to generate the personalized heat map. The personalized heat map can be provided to the target user along with the video.

    SYSTEMS AND METHODS FOR PROVIDING CONTENT
    2.
    发明申请

    公开(公告)号:US20180189030A1

    公开(公告)日:2018-07-05

    申请号:US15396408

    申请日:2016-12-30

    Applicant: Facebook, Inc.

    CPC classification number: G06F7/36 G06F16/9038 G06F16/951

    Abstract: Systems, methods, and non-transitory computer-readable media can determine at least a first category of content items and a second category of content items to be included in a content feed for a user. A ranking for content items included in the first category is determined and a ranking for content items included in the second category is also determined. An interface that presents the content feed including one or more ranked content items from the first category and one or more ranked content items from the second category is provided.

    VIDEO HEAT MAPS PERSONALIZED FOR ONLINE SYSTEM USERS

    公开(公告)号:US20180329928A1

    公开(公告)日:2018-11-15

    申请号:US15595745

    申请日:2017-05-15

    Applicant: Facebook, Inc.

    Abstract: An online system generates personalized video heat map for a target user, which visually indicates segments of a video likely to be of interest to the target user. The online system divides the video into the segments and identifies actions performed by users other than the target user on each of the segments. The online system determines embedding vectors describing each segment as represented by the identified actions performed on the segment and also determines an embedding vector describing the target user. Based on those embedding vectors, a personalized score for the segment is determined using a trained model. The online system uses the personalized score for each segment of the video to generate the personalized heat map. The personalized heat map can be provided to the target user along with the video.

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