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1. 发明申请

US20120005018A1 Large-Scale User Modeling Experiments Using Real-Time Traffic 审中-公开
标题翻译：使用实时流量的大规模用户建模实验
公开(公告)号：US20120005018A1
公开(公告)日：2012-01-05
申请号：US12830259
申请日：2010-07-02
申请人： Vijay Krishna Narayanan , Rajesh Parekh , Albert Meltzer , Sharon Y. Barr , Nilesh Gohel , Utku Irmak , Feng Shao
发明人： Vijay Krishna Narayanan , Rajesh Parekh , Albert Meltzer , Sharon Y. Barr , Nilesh Gohel , Utku Irmak , Feng Shao
IPC分类号： G06Q30/00 , G06F17/30 , G06Q10/00
CPC分类号： G06Q30/02 , G06Q10/067 , G06Q30/0254
摘要： A computer-implemented method for matching a display advertisement to a user within a large-scale, non-destructive user modeling and experimentation environment using real-time traffic. The method commences by populating a user profile object (containing demographics, history, and behaviors of the user) for use during concurrent operation of a production platform and an experimentation platform. To implement non-destructive testing, the method continues by cloning a portion of the real-time traffic for use by the experimentation platform while concurrently delivering the real-time traffic to the production platform. The production platform and the experimentation platform operate concurrently, scoring matches between the user profile objects and a plurality of display advertisements for selecting among the best-scored advertisements. At the conclusion of the experiment, a new user profile object is constructed by selecting a first portion of the experimentation user profile object for use during continued operation of the production platform. Any undesired data is discarded.
摘要翻译：一种用于在使用实时流量的大规模，非破坏性的用户建模和实验环境中将显示广告与用户进行匹配的计算机实现的方法。该方法通过填充用户简档对象（包含用户的人口统计，历史和行为）开始，以在生产平台和实验平台的并发操作期间使用。为了实现非破坏性测试，该方法通过克隆一部分实时流量以供实验平台使用，同时将实时流量同时传递到生产平台。生产平台和实验平台同时运行，在用户简档对象和多个显示广告之间进行匹配，以便在最佳评分的广告之间进行选择。在实验结束时，通过选择实验用户简档对象的第一部分来构建新的用户简档对象，以在生产平台的连续操作期间使用。任何不需要的数据都被丢弃。

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