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    • 5. 发明申请
    • FUNCTIONALITY FOR PERSONALIZING SEARCH RESULTS
    • 个性化搜索结果的功能
    • US20120323828A1
    • 2012-12-20
    • US13162906
    • 2011-06-17
    • David A. SontagKevyn B. Collins-ThompsonPaul N. BennettRyen W. WhiteSusan T. Dumais
    • David A. SontagKevyn B. Collins-ThompsonPaul N. BennettRyen W. WhiteSusan T. Dumais
    • G06F17/30G06F15/18
    • G06F17/30011
    • A query processing system is described herein for personalizing results for a particular user. The query processing system operates by receiving a query from a particular user u who intends to find results that satisfy the query with respect to a topic Tu, the user being characterized by user information θu. In one implementation, the query processing system then produces a generic topic distribution Prr(T|q) associated with the query that is germane to a population of generic users, as well as a user-specific query-dependent topic distribution Pr(Tu|q,θu) for the particular user. The query processing system then produces personalized results for the particular user based on Prr(T|q) and Pr(Tu|q,θu). The query processing system can use multiple techniques to produce Pr(Tu|q,θu), such as, in one approach, a discriminative learning approach.
    • 这里描述了一种用于个性化特定用户的结果的查询处理系统。 查询处理系统通过接收来自特定用户的查询,该用户u意图找到满足关于主题Tu的查询的结果,该用户由用户信息和图标表征; u。 在一个实现中,查询处理系统然后产生与查询相关联的通用主题分布Prr(T | q),该查询与普通用户的总体以及用户特定的查询相关主题分布Pr(Tu | q,&thetas; u)对于特定用户。 然后,查询处理系统基于Prr(T | q)和Pr(Tu | q,&thetas; u)产生针对特定用户的个性化结果。 查询处理系统可以使用多种技术来产生Pr(Tu | q,& tt; u),例如在一种方法中的歧视性学习方法。
    • 6. 发明申请
    • Using Aggregate Location Metadata to Provide a Personalized Service
    • 使用聚合位置元数据提供个性化服务
    • US20120317104A1
    • 2012-12-13
    • US13158483
    • 2011-06-13
    • Filip RadlinskiPaul N. BennettRyen W. WhiteEmine Yilmaz
    • Filip RadlinskiPaul N. BennettRyen W. WhiteEmine Yilmaz
    • G06F17/30G06F15/18
    • G06F16/9535G06F16/9537
    • Functionality is described herein which generates a plurality of item models based on the aggregate behavior of users, such as the aggregate behavior of the users in selecting network-accessible sites and/or issuing particular queries. In one implementation, each item model estimates a probabilistic distribution of locations for an individual, given that the individual selects a particular item (e.g., a particular site or query). The functionality can use the item models to provide a personalized service to an end user. For example, in one scenario, the functionality can generate a plurality of location-based features based on the item models. The functionality can then learn a ranking model based on the location-based features. In a real-time phase of operation, a query processing system uses the ranking model to personalize search results for an end user.
    • 这里描述了基于用户的聚合行为(例如用户选择网络可访问站点和/或发出特定查询的聚合行为)生成多个项目模型的功能。 在一个实现中,假定个人选择特定项目(例如,特定站点或查询),每个项目模型估计个体的位置的概率分布。 功能可以使用项目模型为最终用户提供个性化服务。 例如,在一种情况下,功能可以基于项目模型生成多个基于位置的特征。 然后,功能可以基于基于位置的功能来学习排名模型。 在实时操作阶段,查询处理系统使用排名模型来个性化最终用户的搜索结果。
    • 10. 发明授权
    • Functionality for personalizing search results
    • 个性化搜索结果的功能
    • US08700544B2
    • 2014-04-15
    • US13162906
    • 2011-06-17
    • David A. SontagKevyn B. Collins-ThompsonPaul N. BennettRyen W. WhiteSusan T. Dumais
    • David A. SontagKevyn B. Collins-ThompsonPaul N. BennettRyen W. WhiteSusan T. Dumais
    • G06N5/00G06F1/00
    • G06F17/30011
    • A query processing system is described herein for personalizing results for a particular user. The query processing system operates by receiving a query from a particular user u who intends to find results that satisfy the query with respect to a topic Tu, the user being characterized by user information θu. In one implementation, the query processing system then produces a generic topic distribution Prr(T|q) associated with the query that is germane to a population of generic users, as well as a user-specific query-dependent topic distribution Pr(Tu|q,θu) for the particular user. The query processing system then produces personalized results for the particular user based on Prr(T|q) and Pr(Tu|q,θu). The query processing system can use multiple techniques to produce Pr(Tu|q,θu), such as, in one approach, a discriminative learning approach.
    • 这里描述了一种用于个性化特定用户的结果的查询处理系统。 查询处理系统通过接收来自特定用户的查询,该用户u意图找到满足关于主题Tu的查询的结果,该用户由用户信息和图标表征; u。 在一个实现中,查询处理系统然后产生与查询相关联的通用主题分布Prr(T | q),该查询与普通用户的总体以及用户特定的查询相关主题分布Pr(Tu | q,&thetas; u)对于特定用户。 然后,查询处理系统基于Prr(T | q)和Pr(Tu | q,&thetas; u)产生针对特定用户的个性化结果。 查询处理系统可以使用多种技术来产生Pr(Tu | q,& tt; u),例如在一种方法中的歧视性学习方法。