SYSTEMS AND METHODS FOR MEASURING COMPLEX ONLINE STRATEGY EFFECTIVENESS
    1.
    发明申请
    SYSTEMS AND METHODS FOR MEASURING COMPLEX ONLINE STRATEGY EFFECTIVENESS 审中-公开
    用于测量复杂的在线策略有效性的系统和方法

    公开(公告)号:US20160189202A1

    公开(公告)日:2016-06-30

    申请号:US14587328

    申请日:2014-12-31

    Applicant: Yahoo! Inc.

    CPC classification number: G06Q30/0243 G06Q10/067

    Abstract: Systems and methods for are provided for measuring treatment effect of advertisement campaigns. The system includes a processor and a non-transitory storage medium accessible to the processor. The system includes a memory storing a database including historical advertisement data. A computer server is in communication with the memory and the database, the computer server programmed to obtain a tree-based model using the historical advertisement data, where the tree-based model include a plurality of leaf nodes. Within at least one leaf node of the tree-based model, the computer server obtains a number of subjects and estimates a treatment effect for a treatment. The computer server calculates a final treatment effect for the tree-based model using the number of subjects and the treatment effect. The computer server then determines a parameter for future advertising strategy using the final treatment effect.

    Abstract translation: 提供用于衡量广告活动的治疗效果的系统和方法。 该系统包括可处理器可访问的处理器和非暂时性存储介质。 该系统包括存储包含历史广告数据的数据库的存储器。 计算机服务器与存储器和数据库通信,计算机服务器被编程为使用历史广告数据获得基于树的模型,其中基于树的模型包括多个叶节点。 在基于树的模型的至少一个叶节点中,计算机服务器获得多个受试者并估计治疗的治疗效果。 计算机服务器使用受试者数量和治疗效果计算基于树型模型的最终治疗效果。 然后,计算机服务器使用最终处理效果确定用于将来广告策略的参数。

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