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    • 3. 发明授权
    • Determining query intent
    • 确定查询意图
    • US08612432B2
    • 2013-12-17
    • US12816389
    • 2010-06-16
    • Krishnaram N. G. KenthapadiPanayiotis TsaparasSreenivas GollapudiRakesh Agrawal
    • Krishnaram N. G. KenthapadiPanayiotis TsaparasSreenivas GollapudiRakesh Agrawal
    • G06F7/00G06F17/30G06F15/18
    • G06F17/30979
    • A tree structure has a node associated with each category of a hierarchy of item categories. Child nodes of the tree are associated with sub-categories of the categories associated with parent nodes. Training data including received queries and indicators of a selected item category for each received query is combined with the tree structure by associating each query with the node corresponding to the selected category of the query. When a query is received, a classifier is applied to the nodes to generate a probability that the query is intended to match an item of the category associated with the node. The classifier is applied until the probability is below a threshold. One or more categories associated with the nodes that are closest to the intent of the received query are selected and indicators of items of those categories that match the received query are output.
    • 树结构具有与项目类别的层次结构的每个类别相关联的节点。 树的子节点与与父节点相关联的类别的子类别相关联。 通过将每个查询与对应于所选择的查询类别的节点相关联,将包括接收到的查询和针对每个接收到的查询的所选项目类别的指示符的训练数据与树结构组合。 当接收到查询时,分类器被应用于节点以产生查询旨在匹配与节点相关联的类别的项目的概率。 应用分类器直到概率低于阈值。 选择与接收到的查询的意图最接近的节点相关联的一个或多个类别,并输出与接收到的查询匹配的那些类别的项目的指示符。
    • 4. 发明授权
    • Methods and systems for visually distinguishing user attribute similarities and differences
    • 用于视觉区分用户属性相似性和差异的方法和系统
    • US08413060B1
    • 2013-04-02
    • US12000846
    • 2007-12-18
    • Rakesh Agrawal
    • Rakesh Agrawal
    • G06F3/00G06F15/16
    • H04L51/04
    • Methods, computer-readable storage media, and systems are provided to facilitate visually distinguishing common attributes of users an electronic communication network or messaging service. In particular, user profile attributes are compared between a first and second user, and similar attributes are visually highlighted by assigning, for example, a distinct font, font size, color, font effect, and/or other visual effect to the user's screen name to designate which attributes are similar. In addition, or alternatively, when the first user views a user profile of the second user, common user attributes are visually highlighted. In one embodiment, the font, font size, color, and/or font effect assigned to the highlighted attribute indicates a degree of similarity of the attribute. Such implementations may allow users to more easily recognize and interact with others that have similar interests and attributes.
    • 提供方法,计算机可读存储介质和系统以便于在电视通信网络或消息服务的视觉上区分用户的公共属性。 特别地,在第一和第二用户之间比较用户简档属性,并且通过向用户的屏幕名称分配例如不同的字体,字体大小,颜色,字体效果和/或其他视觉效果来视觉突出类似的属性 指定哪些属性相似。 另外或替代地,当第一用户查看第二用户的用户简档时,公共用户属性被视觉上突出显示。 在一个实施例中,分配给突出显示的属性的字体,字体大小,颜色和/或字体效果指示属性的相似程度。 这样的实现可以允许用户更容易地识别和与具有相似兴趣和属性的其他人交互。
    • 6. 发明申请
    • OBJECT CLASSIFICATION USING TAXONOMIES
    • 使用TAXONOMIES的对象分类
    • US20100185577A1
    • 2010-07-22
    • US12414065
    • 2009-03-30
    • Panayiotis TsaparasPanagiotis PapadimitriouAriel D. FuxmanLise C. GetoorRakesh Agrawal
    • Panayiotis TsaparasPanagiotis PapadimitriouAriel D. FuxmanLise C. GetoorRakesh Agrawal
    • G06N5/02
    • G06N99/005
    • As provided herein objects from a source catalog, such as a provider's catalog, can be added to a target catalog, such as an enterprise master catalog, in a scalable manner utilizing catalog taxonomies. A baseline classifier determines probabilities for source objects to target catalog classes. Source objects can be assigned to those classes with probabilities that meet a desired threshold and meet a desired rate. A classification cost for target classes can be determined for respective unassigned source objects, which can comprise determining an assignment cost and separation cost for the source objects for respective desired target classes. The separation and assignment costs can be combined to determine the classification cost, and the unassigned source objects can be assigned to those classes having a desired classification cost.
    • 如本文所提供的,可以使用目录分类法将来自源目录的诸如提供者目录的对象以可扩展的方式添加到目标目录,例如企业主目录。 基准分类器确定源对象到目标目录类的概率。 可以将源对象分配给具有满足期望阈值且满足期望速率的概率的那些类。 可以针对相应的未分配的源对象来确定目标类别的分类成本,其可以包括确定用于各个期望目标类别的源对象的分配成本和分离成本。 分离和分配成本可以组合以确定分类成本,并且未分配的源对象可以被分配给具有期望的分类成本的那些类。
    • 7. 发明申请
    • CUSTOMIZED SEARCH
    • 自定义搜索
    • US20100114925A1
    • 2010-05-06
    • US12253658
    • 2008-10-17
    • John C. ShaferRakesh Agrawal
    • John C. ShaferRakesh Agrawal
    • G06F17/30
    • G06F17/30864G06F17/30477
    • Techniques are disclosed herein for providing a custom search engine. In one aspect, a first search query is received from a requestor. First search results contain search result items that match the first search query are obtained. A least one sub-query is generated from the first search results. The generating is based on rules for a particular custom search engine. Second search results that match the sub-query are then obtained. A search result set is formed from a corpus that includes the first search results and the second search results. The generating of the search result set is based on the rules for the particular custom search engine. The search result set is provided to the requester. In one aspect an interface for designing a custom search engine is provided. The interface allows the designer to specify the layout of a search results page.
    • 本文公开了用于提供定制搜索引擎的技术。 在一个方面,从请求者接收第一搜索查询。 首先搜索结果包含与第一个搜索查询匹配的搜索结果项。 从第一搜索结果生成至少一个子查询。 生成基于特定自定义搜索引擎的规则。 然后获得与子查询匹配的第二搜索结果。 搜索结果集由包含第一搜索结果和第二搜索结果的语料库形成。 搜索结果集的生成基于特定自定义搜索引擎的规则。 搜索结果集提供给请求者。 在一个方面,提供了一种用于设计定制搜索引擎的界面。 该界面允许设计者指定搜索结果页面的布局。