MACHINE-TRAINED ADAPTIVE CONTENT TARGETING
    1.
    发明申请

    公开(公告)号:US20180211270A1

    公开(公告)日:2018-07-26

    申请号:US15415534

    申请日:2017-01-25

    CPC classification number: G06Q30/0204 G06Q30/0269

    Abstract: Systems and methods for machine-trained adaptive content targeting are provided. The system generates a recommendation model, which includes creating a plurality of offer clusters. Each offer cluster comprises offers having similar features. The system assigns a new offer to one of the plurality of offer clusters. The assigning of the new offer occurs without having to retrain the recommendation model. The system also generates a plurality of user clusters, whereby users within each of the plurality of user clusters share similar behavior. A classification model for predicting an offer cluster from the plurality of offer clusters is created for each of the plurality of user clusters. The system then performs a recommendation process for a new user that includes selecting one or more relevant offers from a predicted offer cluster based on the classification model.

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