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    • 6. 发明授权
    • Selectively adding social dimension to web searches
    • 选择性地将社交维度添加到网络搜索
    • US08880520B2
    • 2014-11-04
    • US12764818
    • 2010-04-21
    • Tom GulikArun Shankar IyerPrasenjit SarkarVinay KakadeErwin Tam
    • Tom GulikArun Shankar IyerPrasenjit SarkarVinay KakadeErwin Tam
    • G06F17/30
    • G06F17/30867
    • Embodiments are directed towards managing a display of search results by employing a query-classification for a search query to selectively display trust search results that are displayed distinct from non-trust search results. A search query is classified into a query-class. A search is then performed over non-trust sources, and selectively over trust data sources to obtain non-trust and trust search results, respectively. The trust search results are rank ordered based on various categories of search criteria, including, for example, explicit and implicit relationships. Based on the query-class, a different number of trust search results may be displayed. Further, a position for which the trust search results may be displayed may be based on the query-class. Moreover, the non-trust search results displayed distinct or separate from the trust search results to readily distinguish a type of source of the search results.
    • 实施例旨在通过对搜索查询采用查询分类来选择性地显示与非信任搜索结果不同的显示信任搜索结果来管理搜索结果的显示。 搜索查询分为查询类。 然后,通过非信任源执行搜索,并选择性地超过信任数据源,以分别获取非信任和信任搜索结果。 信任搜索结果基于各种类别的搜索标准进行排序,包括例如明确和隐含的关系。 基于查询类,可以显示不同数量的信任搜索结果。 此外,可以显示信任搜索结果的位置可以基于查询类。 此外,非信任搜索结果与信任搜索结果不同或不同,以便容易地区分搜索结果的来源类型。
    • 7. 发明申请
    • SELECTIVELY ADDING SOCIAL DIMENSION TO WEB SEARCHES
    • 选择性地增加网络搜索的社会尺寸
    • US20110264648A1
    • 2011-10-27
    • US12764818
    • 2010-04-21
    • Tom GulikArun Shankar IyerPrasenjit SarkarVinay KakadeErwin Tam
    • Tom GulikArun Shankar IyerPrasenjit SarkarVinay KakadeErwin Tam
    • G06F17/30
    • G06F17/30867
    • Embodiments are directed towards managing a display of search results by employing a query-classification for a search query to selectively display trust search results that are displayed distinct from non-trust search results. A search query is classified into a query-class. A search is then performed over non-trust sources, and selectively over trust data sources to obtain non-trust and trust search results, respectively. The trust search results are rank ordered based on various categories of search criteria, including, for example, explicit and implicit relationships. Based on the query-class, a different number of trust search results may be displayed. Further, a position for which the trust search results may be displayed may be based on the query-class. Moreover, the non-trust search results displayed distinct or separate from the trust search results to readily distinguish a type of source of the search results.
    • 实施例旨在通过对搜索查询采用查询分类来选择性地显示与非信任搜索结果不同的显示信任搜索结果来管理搜索结果的显示。 搜索查询分为查询类。 然后,通过非信任源执行搜索,并选择性地超过信任数据源,以分别获取非信任和信任搜索结果。 信任搜索结果基于各种类别的搜索标准进行排序,包括例如明确和隐含的关系。 基于查询类,可以显示不同数量的信任搜索结果。 此外,可以显示信任搜索结果的位置可以基于查询类。 此外,非信任搜索结果与信任搜索结果不同或不同,以便容易地区分搜索结果的来源类型。
    • 8. 发明授权
    • Matching items of user-generated content to entities
    • 将用户生成的内容的项目与实体相匹配
    • US08412771B2
    • 2013-04-02
    • US12909766
    • 2010-10-21
    • Vinay KakadeBo PangNilesh DalviShanmugasundaram Ravikumar
    • Vinay KakadeBo PangNilesh DalviShanmugasundaram Ravikumar
    • G06F15/16
    • G06F17/30867G06Q30/06G06Q50/01
    • A method, apparatus, and computer-readable medium are provided for matching items of user-generated content to entities is provided. Items of user-generated content, such as status updates, are gathered. For each of the items, a machine determines a degree to which the item is associated with an entity. In one aspect, items are matched to an entity by matching the content of the items to attributes of the entity. In another aspect, items are matched to an entity by predicting attributes of an author of the items and determining a distance between the predicted attributes of the author and the attributes of the entity. The distance may be a physical distance between locations of the entity and user or a contextual distance between categories for the entity and posts by the author. Items matched to the entity may be displayed on an interface concurrently with information about the entity.
    • 提供了一种用于将用户生成的内容与实体相匹配的方法,装置和计算机可读介质。 收集用户生成内容的项目,如状态更新。 对于每个项目,机器确定项目与实体相关联的程度。 在一个方面,通过将项目的内容与实体的属性相匹配来将项目与实体相匹配。 在另一方面,通过预测项目的作者的属性并确定作者的预测属性与实体的属性之间的距离来将项目与实体相匹配。 该距离可以是实体和用户的位置之间的物理距离或作者的实体和帖子的类别之间的上下文距离。 与实体匹配的项目可以与接口的实体同时显示。
    • 9. 发明申请
    • MATCHING ITEMS OF USER-GENERATED CONTENT TO ENTITIES
    • 用户生成内容与实体的匹配项目
    • US20120102104A1
    • 2012-04-26
    • US12909766
    • 2010-10-21
    • Vinay KakadeBo PangNilesh DalviShanmugasundaram Ravikumar
    • Vinay KakadeBo PangNilesh DalviShanmugasundaram Ravikumar
    • G06F15/16G06F17/30
    • G06F17/30867G06Q30/06G06Q50/01
    • A method, apparatus, and computer-readable medium are provided for matching items of user-generated content to entities is provided. Items of user-generated content, such as status updates, are gathered. For each of the items, a machine determines a degree to which the item is associated with an entity. In one aspect, items are matched to an entity by matching the content of the items to attributes of the entity. In another aspect, items are matched to an entity by predicting attributes of an author of the items and determining a distance between the predicted attributes of the author and the attributes of the entity. The distance may be a physical distance between locations of the entity and user or a contextual distance between categories for the entity and posts by the author. Items matched to the entity may be displayed on an interface concurrently with information about the entity.
    • 提供了一种用于将用户生成的内容与实体相匹配的方法,装置和计算机可读介质。 收集用户生成内容的项目,如状态更新。 对于每个项目,机器确定项目与实体相关联的程度。 在一个方面,通过将项目的内容与实体的属性相匹配来将项目与实体相匹配。 在另一方面,通过预测项目的作者的属性并确定作者的预测属性与实体的属性之间的距离来将项目与实体相匹配。 该距离可以是实体和用户的位置之间的物理距离或作者的实体和帖子的类别之间的上下文距离。 与实体匹配的项目可以与接口的实体同时显示。