CONTENT RECOMMENDATIONS BASED UPON HISTORICAL FUTURE DATA

    公开(公告)号:US20220019912A1

    公开(公告)日:2022-01-20

    申请号:US16928308

    申请日:2020-07-14

    Applicant: Oath Inc.

    Abstract: One or more computing devices, systems, and/or methods for content recommendations using historical future data are provided. A model serving delay time is computed as an average of training delays of events. A historical data time interval is determined based upon the model serving delay time. A model is trained for predicting user content preferences using historic user distribution data and historic content distribution data associated with the historic data time interval. The model is utilized to generate and provide content recommendations to users.

    Content recommendations based upon historical future data

    公开(公告)号:US11636361B2

    公开(公告)日:2023-04-25

    申请号:US16928308

    申请日:2020-07-14

    Applicant: Oath Inc.

    Abstract: One or more computing devices, systems, and/or methods for content recommendations using historical future data are provided. A model serving delay time is computed as an average of training delays of events. A historical data time interval is determined based upon the model serving delay time. A model is trained for predicting user content preferences using historic user distribution data and historic content distribution data associated with the historic data time interval. The model is utilized to generate and provide content recommendations to users.

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