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1.发明申请公开(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.
Inventor： Hongxia YANG , Robert ORMANDI , Han-Yun TSAO , Quan LU
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.
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公开(公告)号：US20160180372A1
公开(公告)日：2016-06-23
申请号：US14577223
申请日：2014-12-19
Applicant: Yahoo! Inc.
Inventor： Quan LU , Kuang-chih Lee , Donglin Niu , Jian Xu
CPC classification number: G06Q30/0242
Abstract: A computer system implementing a method for ad realization prediction may be configured to receive a plurality of target realization factors associated with a target ad display opportunity; determine a reference realization probability score of the target ad display opportunity based on a global reference realization probability distribution associated with an ad display realization probability decision tree; using the reference realization probability score, determine an ad realization probability score of the target ad display opportunity according to a piecewise calibrated realization probability function; and return the ad realization probability score.
Abstract translation: 实现用于广告实现预测的方法的计算机系统可以被配置为接收与目标广告显示机会相关联的多个目标实现因素; 基于与广告显示实现概率决策树相关联的全局参考实现概率分布来确定目标广告显示机会的参考实现概率得分; 使用参考实现概率分数，根据分段校准的实现概率函数确定目标广告显示机会的广告实现概率分数; 并返回广告实现概率得分。
