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    • 3. 发明授权
    • Virtual cursors for XML joins
    • XML连接的虚拟游标
    • US07685138B2
    • 2010-03-23
    • US11270784
    • 2005-11-08
    • Kevin S. BeyerMarcus Felipe FontouraSridhar RajagopalanEugene J. ShekitaBeverly Yang
    • Kevin S. BeyerMarcus Felipe FontouraSridhar RajagopalanEugene J. ShekitaBeverly Yang
    • G06F17/30G06F7/00
    • G06F17/30935
    • A system, method, and computer program product to improve XML query processing efficiency with virtual cursors. Structural joins are a fundamental operation in XML query processing, and substantial work exists on index-based algorithms for executing them. Two well-known index features—path indices and ancestor information—are combined in a novel way to replace at least some of the physical index cursors in a structural join with virtual cursors. The position of a virtual cursor is derived from the path and ancestor information of a physical cursor. Virtual cursors can be easily incorporated into existing structural join algorithms. By eliminating index I/O and the processing cost of handling physical inverted lists, virtual cursors can improve the performance of holistic path queries by an order of magnitude or more.
    • 一种使用虚拟游标来提高XML查询处理效率的系统,方法和计算机程序产品。 结构连接是XML查询处理中的基本操作,并且基于索引的算法存在大量工作来执行它们。 两个众所周知的索引特征 - 路径索引和祖先信息 - 以一种新颖的方式组合,以用至少一些物理索引光标替换虚拟光标的结构连接。 虚拟光标的位置是从物理光标的路径和祖先信息导出的。 虚拟光标可以很容易地并入到现有的结构连接算法中。 通过消除索引I / O和处理物理反转列表的处理成本,虚拟游标可以将整体路径查询的性能提高一个数量级或更多。
    • 5. 发明授权
    • Online ranking metric
    • 在线排名指标
    • US07953741B2
    • 2011-05-31
    • US11874893
    • 2007-10-18
    • Lawrence Wen-Kai ShihAdam SahDaniel S. TarlowBeverly YangRyohei TakahashiChristopher Rohrs
    • Lawrence Wen-Kai ShihAdam SahDaniel S. TarlowBeverly YangRyohei TakahashiChristopher Rohrs
    • G06F17/30
    • G06F17/30675G06F17/30867
    • Methods, systems, and apparatus, including computer program products, for ranking resources. One or more signals reporting one or more actions by the plurality of users related to a respective resource are received, where a reported action is a presentation of the respective resource, an addition of the respective resource, or a deletion of the respective resource. The reported actions include one or more short deletions of the respective resource. A respective long-addition click-through rate (LACTR) is determined for the respective resource based on a number of reported presentations of the respective resource and a difference between a number of reported additions of the respective resource and a number of short deletions of the respective resource. The plurality of resources are ranked based on the respective LACTRs for the plurality of resources. The ranking of the plurality of resources are provided.
    • 方法,系统和设备,包括计算机程序产品,用于对资源进行排名。 接收到报告与相应资源相关的多个用户的一个或多个动作的一个或多个信号,其中所报告的动作是相应资源的呈现,相应资源的添加或相应资源的删除。 所报告的行动包括一个或多个相应资源的短缺。 基于相应资源的所报告的呈现的数量以及相应资源的所报告的添加的数量和多个短的删除的数量之间的差异,针对相应资源确定相应的长期添加点击率(LACTR) 各自的资源。 基于用于多个资源的各自的LACTR对多个资源进行排名。 提供了多种资源的排名。
    • 6. 发明申请
    • DYNAMIC CONTENT ITEM CREATION
    • 动态内容创建
    • US20140108128A1
    • 2014-04-17
    • US13836879
    • 2013-03-15
    • Chetan PatelVinod Ramachandran MarurBeverly YangKaren YaoVarouj A. ChitilianShu NiuNam Hoang Mai
    • Chetan PatelVinod Ramachandran MarurBeverly YangKaren YaoVarouj A. ChitilianShu NiuNam Hoang Mai
    • G06Q30/02
    • G06Q30/0257G06Q30/0256
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for creating advertisements are disclosed. In one aspect, a method includes receiving an advertisement request that includes user context data. An advertisement having distribution parameters matching the user context data is identified. The identified advertisement can include one or more variables that are resolved based on the user context data. A proper subset of feed data to which the one or more variables for the advertisement will be resolved can be selected based on the user context data and performance measures for portions of the feed data that have been previously used to resolve the one or more variables. The advertisement is modified, at least in part, by including, in place of the one or more variables, the selected modifying data. The modified advertisement is provided in response to the advertisement request.
    • 公开了用于创建广告的方法,系统和装置,包括在计算机存储介质上编码的计算机程序。 一方面,一种方法包括接收包括用户上下文数据的广告请求。 识别具有与用户上下文数据匹配的分布参数的广告。 所识别的广告可以包括基于用户上下文数据来解析的一个或多个变量。 可以基于先前用于解决一个或多个变量的馈送数据的部分的用户上下文数据和性能测量来选择用于广告的一个或多个变量将被解析的馈送数据的适当子集。 该广告至少部分地通过将所选择的修改数据包括在一个或多个变量中来替代。 响应于广告请求提供修改的广告。
    • 7. 发明授权
    • Online ranking metric
    • 在线排名指标
    • US08484343B2
    • 2013-07-09
    • US13494828
    • 2012-06-12
    • Lawrence Wen-Kai ShihAdam SahDaniel S. TarlowBeverly YangRyohei TakahashiChristopher Rohrs
    • Lawrence Wen-Kai ShihAdam SahDaniel S. TarlowBeverly YangRyohei TakahashiChristopher Rohrs
    • G06F15/173G06F17/30G06Q30/00
    • G06F17/30675G06F17/30867
    • Methods, systems, and apparatus, including computer program products, for ranking resources. One or more signals reporting one or more actions by the plurality of users related to a respective resource are received, where a reported action is a presentation of the respective resource, an addition of the respective resource, or a deletion of the respective resource. The reported actions include one or more short deletions of the respective resource. A respective long-addition click-through rate (LACTR) is determined for the respective resource based on a number of reported presentations of the respective resource and a difference between a number of reported additions of the respective resource and a number of short deletions of the respective resource. The plurality of resources are ranked based on the respective LACTRs for the plurality of resources. The ranking of the plurality of resources are provided.
    • 方法,系统和设备,包括计算机程序产品,用于对资源进行排名。 接收到报告与相应资源相关的多个用户的一个或多个动作的一个或多个信号,其中所报告的动作是相应资源的呈现,相应资源的添加或相应资源的删除。 所报告的行动包括一个或多个相应资源的短缺。 基于相应资源的所报告的呈现的数量以及相应资源的所报告的添加的数量和多个短的删除的数量之间的差异,针对相应资源确定相应的长期添加点击率(LACTR) 各自的资源。 基于用于多个资源的各自的LACTR对多个资源进行排名。 提供了多种资源的排名。
    • 8. 发明申请
    • Online Ranking Metric
    • 在线排名公制
    • US20120254198A1
    • 2012-10-04
    • US13494828
    • 2012-06-12
    • Lawrence Wen-Kai ShihAdam SahDaniel S. TarlowBeverly YangRyohei TakahashiChristopher Rohrs
    • Lawrence Wen-Kai ShihAdam SahDaniel S. TarlowBeverly YangRyohei TakahashiChristopher Rohrs
    • G06F17/30
    • G06F17/30675G06F17/30867
    • Methods, systems, and apparatus, including computer program products, for ranking resources. One or more signals reporting one or more actions by the plurality of users related to a respective resource are received, where a reported action is a presentation of the respective resource, an addition of the respective resource, or a deletion of the respective resource. The reported actions include one or more short deletions of the respective resource. A respective long-addition click-through rate (LACTR) is determined for the respective resource based on a number of reported presentations of the respective resource and a difference between a number of reported additions of the respective resource and a number of short deletions of the respective resource. The plurality of resources are ranked based on the respective LACTRs for the plurality of resources. The ranking of the plurality of resources are provided.
    • 方法,系统和设备,包括计算机程序产品,用于对资源进行排名。 接收到报告与相应资源相关的多个用户的一个或多个动作的一个或多个信号,其中所报告的动作是相应资源的呈现,相应资源的添加或相应资源的删除。 所报告的行动包括一个或多个相应资源的短缺。 基于相应资源的所报告的呈现的数量以及相应资源的所报告的添加的数量和多个短的删除的数量之间的差异,针对相应资源确定相应的长期添加点击率(LACTR) 各自的资源。 基于用于多个资源的各自的LACTR对多个资源进行排名。 提供了多种资源的排名。
    • 9. 发明授权
    • Classifying text into hierarchical categories
    • 将文本分类为分层类别
    • US08145636B1
    • 2012-03-27
    • US12404232
    • 2009-03-13
    • Glen M. JehBeverly Yang
    • Glen M. JehBeverly Yang
    • G06F17/30
    • G06F17/30707
    • Systems, methods and program products for classifying text. A system classifies text into first subject matter categories. The system identifies one or more second subject matter categories in a collection of second subject matter categories, each of the second categories is a hierarchical classification of a collection of confirmed valid search results for queries, in which at least one query for each identified second category includes a term in the text. The system filters the identified categories by excluding identified categories whose ancestors are not among the first categories. The system selects categories from the filtered categories based on one or more thresholds in which a threshold specifies a degree of relatedness between a selected category and the text. The selected categories are a sufficient basis for recommending content to a user, the content being associated with one or more of the selected categories.
    • 用于分类文本的系统,方法和程序产品。 系统将文本分类为第一主题类别。 系统识别第二主题类别的集合中的一个或多个第二主题类别,第二类别中的每一个是用于查询的确认的有效搜索结果的集合的分级分类,其中针对每个识别的第二类别进行至少一个查询 在文本中包含一个术语。 系统通过排除其祖先不在第一类别中的已识别类别来过滤所识别的类别。 该系统基于一个或多个阈值来选择来自过滤类别的类别,其中阈值指定所选类别和文本之间的相关程度。 所选择的类别是向用户推荐内容的充分基础,内容与所选择的一个或多个类别相关联。
    • 10. 发明授权
    • Classifying text into hierarchical categories
    • 将文本分类为分层类别
    • US08725732B1
    • 2014-05-13
    • US13426974
    • 2012-03-22
    • Glen M. JehBeverly Yang
    • Glen M. JehBeverly Yang
    • G06F17/30
    • G06F17/30707
    • Systems, methods and program products for classifying text. A system classifies text into first subject matter categories. The system identifies one or more second subject matter categories in a collection of second subject matter categories, each of the second categories is a hierarchical classification of a collection of confirmed valid search results for queries, in which at least one query for each identified second category includes a term in the text. The system filters the identified categories by excluding identified categories whose ancestors are not among the first categories. The system selects categories from the filtered categories based on one or more thresholds in which a threshold specifies a degree of relatedness between a selected category and the text. The selected categories are a sufficient basis for recommending content to a user, the content being associated with one or more of the selected categories.
    • 用于分类文本的系统,方法和程序产品。 系统将文本分类为第一主题类别。 系统识别第二主题类别的集合中的一个或多个第二主题类别,第二类别中的每一个是用于查询的确认的有效搜索结果的集合的分级分类,其中针对每个识别的第二类别进行至少一个查询 在文本中包含一个术语。 系统通过排除其祖先不在第一类别中的已识别类别来过滤所识别的类别。 该系统基于一个或多个阈值来选择来自过滤的类别的类别,其中阈值指定所选类别和文本之间的相关程度。 所选择的类别是向用户推荐内容的充分基础,内容与所选择的一个或多个类别相关联。