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Generating models based on response rates of users/experts using probabilities, and random numbers

机译:根据用户/专家使用概率和随机数的响应率生成模型

摘要

Methods, systems and apparatus, including computer programs encoded on a computer storage medium, for receiving aggregate user data, the aggregate user data corresponding to response rate of one or more answering users responding to requests, processing the aggregate user data to generate an analytical model, the analytical model describing a probability that an average answering user will respond to a request based on response rates of one or more time intervals, receiving a request, identifying a plurality of answering users, processing the analytical model to identify a sub-set of answering users of the plurality of answering users, and transmitting the request to each answering user of the sub-set of answering users.
机译:方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于接收聚合用户数据,该聚合用户数据对应于一个或多个响应请求的应答用户的响应率,处理聚合用户数据以生成分析模型,该分析模型基于一个或多个时间间隔的响应率来描述平均应答用户将对请求做出响应的概率,接收请求,标识多个应答用户,处理该分析模型以识别以下子集:多个应答用户中的一个应答用户,并将请求发送给应答用户子集中的每个应答用户。

著录项

  • 公开/公告号US9135558B1

    专利类型

  • 公开/公告日2015-09-15

    原文格式PDF

  • 申请/专利权人 GOOGLE INC.;

    申请/专利号US201414197850

  • 发明设计人 MICHAEL KIM;

    申请日2014-03-05

  • 分类号G06F17;G06N5/02;G06F17/30;

  • 国家 US

  • 入库时间 2022-08-21 15:21:53

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