Identifying Content Items Using a Deep-Learning Model

    公开(公告)号:US20170132510A1

    公开(公告)日:2017-05-11

    申请号:US14981413

    申请日:2015-12-28

    Applicant: Facebook, Inc.

    CPC classification number: G06N3/08 G06N3/0454 H04L67/10 H04L67/1097

    Abstract: In one embodiment, a method may include receiving a first content item. A first embedding of the first content item may be determined and may corresponds to a first point in an embedding space. The embedding space may include a plurality of second points corresponding to a plurality of second embeddings of second content items. The embeddings are determined using a deep-learning model. The points are located in one or more clusters in the embedding space, which are each associated with a class of content items. Locations of points within clusters may be based on one or more attributes of the respective corresponding content items. Second content items that are similar to the first content item may be identified based on the locations of the first point and the second points and on particular clusters that the second points corresponding to the identified second content items are located in.

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