首页> 外国专利> METHOD AND SYSTEM USING KEYWORD VECTORS AND ASSOCIATED METRICS FOR LEARNING AND PREDICTION OF USER CORRELATION OF TARGETED CONTENT MESSAGES IN A MOBILE ENVIRONMENT

METHOD AND SYSTEM USING KEYWORD VECTORS AND ASSOCIATED METRICS FOR LEARNING AND PREDICTION OF USER CORRELATION OF TARGETED CONTENT MESSAGES IN A MOBILE ENVIRONMENT

机译:使用关键词向量和相关度量的方法和系统,用于学习和预测移动环境中目标内容消息的用户相关性

摘要

Methods and systems for determining a suitability for a mobile client to display information are disclosed. A particular exemplary method includes receiving a plurality of sets of one or more first keywords on a mobile client, each set of first keywords associated with one or more respective first messages, monitoring user interaction of the respective first messages on the mobile client, performing learning operations on the mobile client with the first keywords based on monitored user interaction to estimate a set of keyword interest weights, receiving a set of target keywords associated with a target message, and displaying the target message on the mobile client based on the estimated keyword interest weights.
机译:公开了用于确定适合移动客户端显示信息的方法和系统。一种特定的示例性方法包括:在移动客户端上接收多组一个或多个第一关键字,每组第一关键字与一个或多个相应的第一消息相关联;监视相应的第一消息在移动客户端上的用户交互;执行学习基于监视的用户交互,使用第一关键字在移动客户端上进行操作,以估计一组关键字兴趣权重,接收与目标消息相关联的一组目标关键字,并根据估计的关键字兴趣在移动客户端上显示目标消息重量。

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