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System and method for recommending content based on search history and trending topics

机译:基于搜索历史和趋势主题推荐内容的系统和方法

摘要

Systems and methods for providing content associated with trending topics relevant to a user are described. An interest detection module identifies topics trending in one or more real-time content sources that are relevant to a user. The real-time content source(s) may include, for example, a source of microblog posts or other user-generated data, a news feed, or the like. The topics trending that are relevant to the user are identified by comparing a search history of the user with one or more trending topics stored in a database. A content retriever module is configured to return one or more documents to the user in response to identifying the one or more topics trending that are relevant to the user.
机译:描述了用于提供与与用户相关的趋势主题相关联的内容的系统和方法。兴趣检测模块识别与用户相关的一个或多个实时内容源中的趋势主题。实时内容源可以包括例如微博帖子或其他用户生成的数据,新闻提要等的源。通过将用户的搜索历史与数据库中存储的一个或多个趋势主题进行比较,可以识别与用户相关的趋势主题。内容检索器模块被配置为响应于识别与用户相关的一个或多个趋势的主题而将一个或多个文档返回给用户。

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