SYSTEMS AND METHODS FOR RENDERING UNIFIED AND REAL-TIME USER INTEREST PROFILES

    公开(公告)号:US20220121549A1

    公开(公告)日:2022-04-21

    申请号:US17072849

    申请日:2020-10-16

    Applicant: Oath Inc.

    Abstract: The instant system and methods solves the cold start problem through various systems and methods directed to aggregating user interaction data associated with a user over a period of time, scoring the user interaction data to determine at least one user interest relevance score and/or at least one surfacing user interest score for each of the plurality of user interaction types, wherein the scoring includes a time sensitive weighting scheme, and generating a user interest profile partition for each of the plurality of user interaction types based on the at least one user interest relevance score and/or the at least one surfacing user interest score.

    ANALYTICAL PRECURSOR MINING FOR PERSONALIZED RECOMMENDATION

    公开(公告)号:US20190279231A1

    公开(公告)日:2019-09-12

    申请号:US15912824

    申请日:2018-03-06

    Applicant: Oath Inc.

    Abstract: Systems and methods are disclosed for discovering precursors associated with a current user interaction event. One method comprises receiving a selection of a new item by a user and determining a plurality of similarities between the new item selected by the user and a plurality of historical items, the plurality of historical items being associated with prior user activity. Then a plurality of importance weights associated with the plurality of historical items are determined. Based on the plurality of similarities and the plurality of importance weights, at least one enhanced importance matrix is generated. Further, prior interactions of the user with the plurality of historical items are determined. Based on the enhanced importance matrix and the prior interactions of the user with the plurality of historical items, precursors for the new item selected by the user are identified and provided to a display.

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