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    • 2. 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。
    • 3. 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。
    • 7. 发明授权
    • Translation model and method for matching reviews to objects
    • 用于将评论与对象进行匹配的翻译模型和方法
    • US08972436B2
    • 2015-03-03
    • US12607938
    • 2009-10-28
    • Shanmugasundaram RavikumarNilesh DalviBo PangAndrew Tomkins
    • Shanmugasundaram RavikumarNilesh DalviBo PangAndrew Tomkins
    • G06F17/30
    • G06F17/30705
    • Disclosed are methods and apparatus for matching sets of text to objects are disclosed. In accordance with one embodiment, a set of text is obtained. For instance, the set of text may include a review. A numerical value is determined for each of a plurality of objects, where the numerical value indicates a likelihood that the corresponding one of the plurality of objects is a subject of the set of text. Each of the plurality of objects has an object type defined by a set of one or more attributes, each of the set of one or more attributes having associated therewith a corresponding set of one or more parameters, wherein the numerical value is determined using the set of text and a value of each of the set of one or more parameters for each of the set of one or more attributes. One of the plurality of objects that is most likely to be the subject of the set of text is identified based upon the numerical value that has been determined for each of the plurality of objects.
    • 公开了用于将文本与对象相匹配的方法和装置。 根据一个实施例,获得一组文本。 例如,文本集可能包括一个审查。 为多个对象中的每一个确定数值,其中数值表示多个对象中的对应的一个对象是该组文本的对象的可能性。 所述多个对象中的每一个具有由一组或多个属性定义的对象类型,所述一组或多个属性中的每一个具有与其相关联的一组或多个参数,其中使用所述集合来确定所述数值 的文本以及一组或多个属性中的每一个的一个或多个参数的集合中的每一个的值。 基于为多个对象中的每一个确定的数值来识别最有可能成为该组文本的对象的多个对象中的一个。
    • 9. 发明申请
    • Translation Model and Method for Matching Reviews to Objects
    • 用于匹配对象的评论的翻译模型和方法
    • US20110099192A1
    • 2011-04-28
    • US12607938
    • 2009-10-28
    • Shanmugasundaram RavikumarNilesh DalviBo PangAndrew Tomkins
    • Shanmugasundaram RavikumarNilesh DalviBo PangAndrew Tomkins
    • G06F17/30
    • G06F17/30705
    • Disclosed are methods and apparatus for matching sets of text to objects are disclosed. In accordance with one embodiment, a set of text is obtained. For instance, the set of text may include a review. A numerical value is determined for each of a plurality of objects, where the numerical value indicates a likelihood that the corresponding one of the plurality of objects is a subject of the set of text. Each of the plurality of objects has an object type defined by a set of one or more attributes, each of the set of one or more attributes having associated therewith a corresponding set of one or more parameters, wherein the numerical value is determined using the set of text and a value of each of the set of one or more parameters for each of the set of one or more attributes. One of the plurality of objects that is most likely to be the subject of the set of text is identified based upon the numerical value that has been determined for each of the plurality of objects.
    • 公开了用于将文本与对象相匹配的方法和装置。 根据一个实施例,获得一组文本。 例如,文本集可能包括一个审查。 为多个对象中的每一个确定数值,其中数值表示多个对象中的对应的一个对象是该组文本的对象的可能性。 所述多个对象中的每一个具有由一组或多个属性定义的对象类型,所述一组或多个属性中的每一个具有与其相关联的一组或多个参数,其中使用所述集合来确定所述数值 的文本以及一组或多个属性中的每一个的一个或多个参数的集合中的每一个的值。 基于为多个对象中的每一个确定的数值来识别最有可能成为该组文本的对象的多个对象中的一个。