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    • 8. 发明授权
    • Method and apparatus for automatically identifying compunds
    • 自动识别比例的方法和装置
    • US08086599B1
    • 2011-12-27
    • US11651282
    • 2007-01-09
    • Maureen Heymans
    • Maureen Heymans
    • G06F17/30
    • G06F17/30648G06F17/30672
    • One embodiment of the present invention provides a system that automatically identifies compounds, such as bigrams or n-grams. During operation, the system obtains selections of search results which were selected by one or more users, wherein the search results were previously generated by a search engine in response to queries containing search terms. Next, the system forms a set of candidate compounds from the queries, wherein each candidate compound comprises n consecutive terms from a query. Then, for each candidate compound in the set, the system analyzes the selections of search results to calculate a likelihood that the candidate compound is a compound.
    • 本发明的一个实施方案提供了一种系统,其自动识别化合物,例如二聚体或n-gram。 在操作期间,系统获得由一个或多个用户选择的搜索结果的选择,其中搜索结果先前由搜索引擎响应于包含搜索项的查询生成。 接下来,系统从查询中形成一组候选化合物,其中每个候选化合物包括来自查询的n个连续项。 然后,对于集合中的每个候选化合物,系统分析搜索结果的选择以计算候选化合物是化合物的可能性。
    • 9. 发明授权
    • Method and apparatus for automatically identifying compounds
    • 用于自动识别化合物的方法和装置
    • US08768917B1
    • 2014-07-01
    • US13614233
    • 2012-09-13
    • Maureen Heymans
    • Maureen Heymans
    • G06F17/30
    • G06F17/30648G06F17/30672
    • One embodiment of the present invention provides a system that automatically identifies compounds, such as bigrams or n-grams. During operation, the system obtains selections of search results which were selected by one or more users, wherein the search results were previously generated by a search engine in response to queries containing search terms. Next, the system forms a set of candidate compounds from the queries, wherein each candidate compound comprises n consecutive terms from a query. Then, for each candidate compound in the set, the system analyzes the selections of search results to calculate a likelihood that the candidate compound is a compound.
    • 本发明的一个实施方案提供了一种系统,其自动识别化合物,例如二聚体或n-gram。 在操作期间,系统获得由一个或多个用户选择的搜索结果的选择,其中搜索结果先前由搜索引擎响应于包含搜索项的查询生成。 接下来,系统从查询中形成一组候选化合物,其中每个候选化合物包括来自查询的n个连续项。 然后,对于集合中的每个候选化合物,系统分析搜索结果的选择以计算候选化合物是化合物的可能性。
    • 10. 发明授权
    • Inferring social affinity based on interactions with search results
    • 根据与搜索结果的互动推测社交关系
    • US09519683B1
    • 2016-12-13
    • US13604818
    • 2012-09-06
    • Sumitro SamaddarMatthew E. KulickMaureen Heymans
    • Sumitro SamaddarMatthew E. KulickMaureen Heymans
    • G06F17/30
    • G06F17/30867G06F17/30864G06Q50/01
    • Techniques for inferring social affinity may include the following operations: obtaining information derived from online activity of a first party, where the online activity includes searches initiated by the first party, and where the information specifies interaction of the first party with content accessed through the online activity; determining, based on the information, that an amount of the interaction of the first party with the content exceeds a threshold; following the determining, identifying a second party who provided the content; adjusting, in a social graph for the first party, an affinity of the second party to the first party based on the amount of the interaction with the content; and using the affinity to promote search results output to the first party that contain content that is provided by the second party.
    • 用于推断社会亲和度的技术可以包括以下操作:获得从第一方的在线活动导出的信息,其中在线活动包括由第一方发起的搜索,以及信息指定第一方与通过在线访问的内容的交互 活动; 基于所述信息确定所述第一方与所述内容的交互的量超过阈值; 在确定之后,识别提供内容的第二方; 基于与内容的交互量,在第一方的社交图中调整第二方对第一方的亲和度; 并使用亲和力来将搜索结果输出到包含由第二方提供的内容的第一方。