SYSTEMS AND METHODS FOR ESTABLISHING AND UTILIZING A HIERARCHICAL BAYESIAN FRAMEWORK FOR AD CLICK THROUGH RATE PREDICTION

    公开(公告)号:US20170098240A1

    公开(公告)日:2017-04-06

    申请号:US14874153

    申请日:2015-10-02

    Applicant: Yahoo! Inc.

    CPC classification number: G06Q30/0254 G06N7/005

    Abstract: The present disclosure relates to a computer system configured establish and utilize a database for online ad realization prediction in an ad display platform associated with N parties, wherein N is a positive integral greater than 1. The computer system is configured obtain a party hierarchy for each of the N parties including a plurality of features of the party; select a target ad display event including N features, each of the N features corresponding to a node in a party hierarchy; obtain a prior probability reflecting an unconditional probability of ad realization occurrence at the target ad display event among all possible ad display events; for each of the N features: determine a marginal prior probability by decomposing components associated with the other N−1 features from the prior probability; determine a marginal posterior probability based on the marginal prior probability; and save the marginal posterior probability in the corresponding node of the party hierarchy.

Patent Agency Ranking