EXPLORATION OF REAL-TIME ADVERTISING DECISIONS

    公开(公告)号:US20170098236A1

    公开(公告)日:2017-04-06

    申请号:US14873757

    申请日:2015-10-02

    Applicant: Yahoo! Inc.

    CPC classification number: G06Q30/0244 G06Q10/067 G06Q30/0247 G06Q30/0275

    Abstract: Described herein are example systems and operations for enhancing response prediction and bidding decision making. A feature recommendation controller may include a factorization machine that generates a set of combinations of contextual and advertiser features yielding high expected response rates. A bidding controller may implement a multi-arm bandit system that uses Thompson sampling to select an optimal one of the feature combinations that corresponds to a highest expected response rate. The bidding controller may compare the corresponding highest expected response rate with a threshold response rate associated with a pacing rate to determine whether to place a bid for a received ad request.

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