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    • 2. 发明授权
    • Combining user feedback
    • 结合用户反馈
    • US08832083B1
    • 2014-09-09
    • US12842345
    • 2010-07-23
    • Zhihui ChenHyung-Jin KimHenele I. AdamsNitin KhandelwalVarun KacholiaDavid P. Stoutamire
    • Zhihui ChenHyung-Jin KimHenele I. AdamsNitin KhandelwalVarun KacholiaDavid P. Stoutamire
    • G06F7/06G06F17/30
    • G06F17/30864
    • Obtaining search results responsive to a query, each search result identifying a respective resource and each resource having a respective rank determined by a primary ranking algorithm. The method includes obtaining primary user feedback data and secondary user feedback data for the resource. The primary and secondary user feedback data representing previous user interactions with the resource when the resource was presented as a search result responsive to the query. The method also includes applying a weight to the secondary user feedback data, the weight being at least partially based on a threshold quantity of the primary user feedback data. The method also includes aggregating the primary user feedback data and the weighted secondary user feedback data and modifying the respective rank of the resource as a search result for the query based at least partially on the aggregated data.
    • 响应于查询获取搜索结果,每个搜索结果标识相应的资源,并且每个资源具有由主排序算法确定的相应等级。 该方法包括获得资源的主用户反馈数据和次用户反馈数据。 当资源作为响应于查询的搜索结果被呈现时,主用户和次用户反馈数据表示先前与资源的交互。 该方法还包括将权重应用于次要用户反馈数据,权重至少部分地基于主用户反馈数据的阈值量。 该方法还包括聚合主要用户反馈数据和加权的次级用户反馈数据,并且至少部分地基于聚合数据来修改作为查询的搜索结果的资源的相应等级。
    • 3. 发明授权
    • Methods, systems, and media for ranking content items using topics
    • 使用主题对内容项进行排名的方法,系统和媒体
    • US09213745B1
    • 2015-12-15
    • US13844219
    • 2013-03-15
    • Ana BenitezAdam Scott PantelNitin KhandelwalJeremy Hylton
    • Ana BenitezAdam Scott PantelNitin KhandelwalJeremy Hylton
    • G06F17/30
    • G06F17/3053G06F17/30038G06F17/30817G06F17/30867G06F17/30997
    • Methods, systems, and media for ranking content items using topics are provided. In some embodiments, a method for ranking video content is provided, comprising: receiving a search query; generating a plurality of search results in response to the search query; determining one or more entity types associated with a content class within the plurality of search results; determining whether the search query is a query for content belonging to the content class based on a plurality of criterion that includes: (i) determining whether at least one of the plurality of search results is associated with the one or more determined entity types and (ii) determining whether entities shared between the plurality of search results include the one or more determined entity types; and in response to determining that the plurality of criterion have been met, promoting at least one search result of the plurality of search results belonging to the content class.
    • 提供了使用主题对内容项进行排名的方法,系统和媒体。 在一些实施例中,提供了一种用于对视频内容进行排序的方法,包括:接收搜索查询; 响应于搜索查询生成多个搜索结果; 确定与所述多个搜索结果内的内容类相关联的一个或多个实体类型; 基于包括以下步骤的多个标准来确定所述搜索查询是否是对属于所述内容类的内容的查询:(i)确定所述多个搜索结果中的至少一个是否与所述一个或多个所确定的实体类型相关联,以及( ii)确定在所述多个搜索结果之间共享的实体是否包括所述一个或多个确定的实体类型; 并且响应于确定已经满足所述多个标准,促进属于所述内容类的所述多个搜索结果的至少一个搜索结果。
    • 4. 发明授权
    • Structured metadata extraction
    • 结构化元数据提取
    • US08954438B1
    • 2015-02-10
    • US13484803
    • 2012-05-31
    • Yiqiang MaoAlvin TangNitin Khandelwal
    • Yiqiang MaoAlvin TangNitin Khandelwal
    • G06F17/30
    • G06F17/30997
    • Structured metadata extraction may include accessing one or more documents from which to extract the structured metadata from each of a plurality of hosts. A plurality of entity names can be extracted from the one or more documents from one of the plurality of hosts using an entity name pattern. A first element list can be extracted from the one or more documents based at least in part on the plurality of entity names and based at least in part on one or more heuristic rules. An element list pattern may be generated based at least in part on the first element list, and a second element list may be extracted from the one or more documents based at least in part on the element list pattern.
    • 结构化元数据提取可以包括访问从多个主机中的每一个提取结构化元数据的一个或多个文档。 可以使用实体名称模式从多个主机中的一个主机从一个或多个文档中提取多个实体名称。 至少部分地基于多个实体名称,并且至少部分地基于一个或多个启发式规则,可以从一个或多个文档中提取第一元素列表。 可以至少部分地基于第一元素列表来生成元素列表模式,并且可以至少部分地基于元素列表模式从一个或多个文档中提取第二元素列表。