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    • 1. 发明授权
    • Geographically local query detection
    • 地理位置查询检测
    • US09424342B1
    • 2016-08-23
    • US12708583
    • 2010-02-19
    • Deepak RavichandranDandapani SivakumarRohan SethShumeet Baluja
    • Deepak RavichandranDandapani SivakumarRohan SethShumeet Baluja
    • G06F17/30
    • G06F17/30637G06F17/3087
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for detecting local search queries. In one aspect, a method includes accessing a search query log that includes data specifying search queries corresponding to particular geographic regions and for at least one of the search queries corresponding to the particular geographic region generating a geo-query count that represents a total number of times that the search query was received over a specified period. The geo-query count is compared to a corresponding expected query count for the search query, where the expected query count is a baseline number of times that the query is expected to be received. In response to determining that the search query has a geo-query count that exceeds the corresponding expected query count by at least a threshold amount, the particular query is classified as a local query for the particular geographic region.
    • 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,用于检测本地搜索查询。 一方面,一种方法包括访问包括指定与特定地理区域相对应的搜索查询的数据的搜索查询日志,以及对应于特定地理区域的搜索查询中的至少一个生成地理查询计数,所述地理查询计数表示总数 在指定时间段内收到搜索查询的时间。 将地理查询计数与搜索查询的相应预期查询计数进行比较,其中预期查询计数是希望接收查询的基准次数。 响应于确定搜索查询具有超过相应的预期查询计数至少阈值量的地理查询计数,特定查询被分类为特定地理区域的本地查询。
    • 2. 发明授权
    • Selecting keywords using co-visitation information
    • 使用共同访问信息选择关键字
    • US08572096B1
    • 2013-10-29
    • US13297544
    • 2011-11-16
    • Rohan SethShumeet BalujaDandapani SivakumarDeepak Ravichandran
    • Rohan SethShumeet BalujaDandapani SivakumarDeepak Ravichandran
    • G06F17/30
    • G06F17/30867G06Q10/10
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting keywords for resources. In one aspect, a method includes identifying a particular online resource that includes non-text content. Co-visitation data are obtained for the particular resource. The co-visitation data specify one or more co-requested online resources for the particular online resource. Each of the co-requested online resources were requested by a user device within a threshold period of the request for the particular online resource by the user device. Keywords are identified for each of the co-requested online resources, and can include keywords that were selected based on text content of the co-requested online resource. One or more of the identified keywords are selected as keywords for the particular resource.
    • 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,用于选择资源的关键字。 一方面,一种方法包括识别包括非文本内容的特定在线资源。 获取特定资源的共访问数据。 共同访问数据指定特定在线资源的一个或多个共同请求的在线资源。 在用户设备对特定在线资源的请求的阈值期间内,由用户设备请求每个共同请求的在线资源。 针对每个共同请求的在线资源标识关键字,并且可以包括基于共同请求的在线资源的文本内容而选择的关键字。 选择一个或多个所识别的关键词作为特定资源的关键字。
    • 6. 发明授权
    • Creating targeting information for a user
    • 为用户创建定位信息
    • US08909631B1
    • 2014-12-09
    • US13217605
    • 2011-08-25
    • Rohan SethJoshua J. SacksMichele CovellMichael ChuShumeet BalujaDavid Marwood
    • Rohan SethJoshua J. SacksMichele CovellMichael ChuShumeet BalujaDavid Marwood
    • G06F7/00G06F17/30
    • G06F17/3087G06Q30/02
    • Methods, systems, and computer program products, including computer programs encoded on a computer readable storage medium, for providing content to a user based on the mode of the user. A method includes: providing a data structure that includes query logs; processing query logs to determine candidate queries that satisfy a criteria, the processing including determining a location of interest, if any, for each query log entry and where the criteria requires an entry to have been submitted from a location that is different from a location of interest associated with the entry; evaluating the candidate queries to determine targeting information for the location of interest; receiving a request for content from a user that is proximate to the location of interest or has expressed an interest in the location of interest; and providing content to the user based at least in part on the targeting information.
    • 方法,系统和计算机程序产品,包括在计算机可读存储介质上编码的计算机程序,用于基于用户的模式向用户提供内容。 一种方法包括:提供包括查询日志的数据结构; 处理查询日志以确定满足条件的候选查询,所述处理包括为每个查询日志条目确定感兴趣的位置(如果有的话),并且其中标准要求从不同于位置的位置提交条目 与入场有关的利息; 评估候选查询以确定感兴趣的位置的目标信息; 接收来自接近感兴趣位置的用户的内容请求,或者对感兴趣的位置表示兴趣; 以及至少部分地基于所述目标信息向所述用户提供内容。
    • 9. 发明授权
    • Determining labels from similar geographic features
    • 确定类似地理特征的标签
    • US09177069B1
    • 2015-11-03
    • US13111459
    • 2011-05-19
    • Rohan SethJoshua J. SacksMichele CovellMichael ChuShumeet BalujaDavid Marwood
    • Rohan SethJoshua J. SacksMichele CovellMichael ChuShumeet BalujaDavid Marwood
    • G06F17/30
    • G06F17/3087G06F17/30241G06F17/30333
    • Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, including a method that comprises: determining a target geographic feature that has insufficient targeting information associated therewith, the target geographic feature defining a location; determining one or more similar geographic features to the target geographic feature, each geographic feature including targeting information, the determining based on shared excess queries that are shared between geographic features that are determined to be similar to the target geographic feature, wherein each excess query is a query associated with and exceeds an expected query count for each of the similar geographic features and the target geographic feature; attributing targeting information associated with at least one of the one or more similar geographic features to the target geographic feature; and serving content responsive to queries that relate to the target geographic feature based at least in part on the attributed targeting information.
    • 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,包括一种方法,其包括:确定与其相关联的目标信息不足的目标地理特征,所述目标地理特征定义位置; 将目标地理特征确定一个或多个相似的地理特征,每个地理特征包括目标信息,基于被确定为类似于目标地理特征的地理特征之间共享的共享超额查询的确定,其中每个过量查询是 与每个相似地理特征和目标地理特征相关联并且超过预期查询计数的查询; 将与所述一个或多个相似地理特征中的至少一个相关联的定向信息归因于所述目标地理特征; 以及至少部分地基于归因的定位信息来响应于与目标地理特征相关的查询来服务内容。
    • 10. 发明授权
    • Associating interest and disinterest keywords with similar and dissimilar users
    • 将兴趣和不感兴趣的关键字与类似和不同的用户相关联
    • US09031951B1
    • 2015-05-12
    • US13437572
    • 2012-04-02
    • Shumeet BalujaMichele CovellRohan Seth
    • Shumeet BalujaMichele CovellRohan Seth
    • G06F7/00G06F17/30
    • G06F17/30861G06F17/30035
    • Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, including a method for propagating labels. The method comprises determining a set of labels to be associated with users of a social network, the labels including one or more designators for specifying areas of interest and areas of disinterest for a user. The method further comprises associating nodes in a graph representing the social network, where the users are represented by user nodes in the graph, and determining that a user is similar or dissimilar to another user in the social network. The method further comprises determining weights for the labels, each weight reflecting a magnitude of a contribution of an associated label to a characterization of the respective node, and propagating labels to other nodes that are related to the respective node by a relationship, including propagating labels in accordance with the determined similarity or dissimilarity.
    • 方法,系统和装置,包括在计算机可读存储介质上编码的计算机程序,包括传播标签的方法。 所述方法包括确定要与社交网络的用户相关联的一组标签,所述标签包括用于指定感兴趣区域和用户不感兴趣区域的一个或多个指示符。 该方法还包括将表示社交网络的图中的节点相关联,其中用户由图中的用户节点表示,并且确定用户与社交网络中的另一用户相似或不相似。 所述方法还包括确定所述标签的权重,每个权重反映相关标签对相应节点的表征的贡献的大小,以及通过关系将标签传播到与相应节点相关的其他节点,包括传播标签 根据确定的相似性或不相似性。