MACHINE LEARNING TECHNIQUES FOR USER GROUP BASED CONTENT DISTRIBUTION

    公开(公告)号:WO2023075774A1

    公开(公告)日:2023-05-04

    申请号:PCT/US2021/057028

    申请日:2021-10-28

    Applicant: GOOGLE LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training and using machine learning models. In some aspects, a method includes identifying a first set of data for users of multiple user groups. For each user, a first party user identifier is obtained that identifies the individual user to a first party content provider. A second set of data describing activity of the user with respect to content of the first party content provider is identified. For each user, a contextual analysis of the first set and the second set of data is performed to generate one or more labels indicating user interest. A training dataset is generated based on the first set and the second set of data and a label. The training dataset is then used to train one or more machine learning models to predict user interest.

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