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1. 发明授权

US09424342B1 Geographically local query detection 有权
标题翻译：地理位置查询检测
公开(公告)号：US09424342B1
公开(公告)日：2016-08-23
申请号：US12708583
申请日：2010-02-19
申请人： Deepak Ravichandran , Dandapani Sivakumar , Rohan Seth , Shumeet Baluja
发明人： Deepak Ravichandran , Dandapani Sivakumar , Rohan Seth , Shumeet Baluja
IPC分类号： G06F17/30
CPC分类号： G06F17/30637 , G06F17/3087
摘要： 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.
摘要翻译：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

US08572096B1 Selecting keywords using co-visitation information 有权
标题翻译：使用共同访问信息选择关键字
公开(公告)号：US08572096B1
公开(公告)日：2013-10-29
申请号：US13297544
申请日：2011-11-16
申请人： Rohan Seth , Shumeet Baluja , Dandapani Sivakumar , Deepak Ravichandran
发明人： Rohan Seth , Shumeet Baluja , Dandapani Sivakumar , Deepak Ravichandran
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06Q10/10
摘要： 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.
摘要翻译：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。

3. 发明授权

US08145679B1 Video-related recommendations using link structure 有权
公开(公告)号：US08145679B1
公开(公告)日：2012-03-27
申请号：US12966747
申请日：2010-12-13
申请人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
发明人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
IPC分类号： G06F17/30
CPC分类号： G06F17/30035 , G06F17/30828 , G06Q30/02 , Y10S707/99942 , Y10S707/99945
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes inferring labels for videos, users, advertisements, groups of users, and other entities included in a social network system. The inferred labels can be used to generate recommendations such as videos or advertisements in which a user may be interested. Inferred labels can be generated based on social or other relationships derived from, for example, profiles or activities of social network users. Inferred labels can be advantageous when explicit information about these entities is not available. For example, a particular user may not have clicked on any online advertisements, so the user is not explicitly linked to any advertisements.

4. 发明授权

US08055664B2 Inferring user interests 有权
标题翻译：推荐用户兴趣
公开(公告)号：US08055664B2
公开(公告)日：2011-11-08
申请号：US11742995
申请日：2007-05-01
申请人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
发明人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
IPC分类号： G06F17/30 , G06Q30/00
CPC分类号： G06N5/02 , G06N99/005 , G06Q30/0274
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes determining, for a portion of users of a social network, label values each comprising an inferred interest level of a user in a subject indicated by a label, associating a first user with one or more second users based on one or more relationships specified by the first user, and outputting a first label value for the first user based on one or more second label values of the one or more second users.
摘要翻译：本说明书的主题可以包括一种方法，其包括为社交网络的用户的一部分确定每个包括由标签指示的对象中的用户的推定的兴趣级别的标签值，基于由第一用户指定的一个或多个关系将第一用户与一个或多个第二用户相关联，并且基于一个或多个第二用户的一个或多个第二标签值输出第一用户的第一标签值。

5. 发明授权

US08572099B2 Advertiser and user association 有权
标题翻译：广告客户和用户关联
公开(公告)号：US08572099B2
公开(公告)日：2013-10-29
申请号：US13007209
申请日：2011-01-14
申请人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
发明人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
IPC分类号： G06F17/30 , G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0274 , G06Q30/0277
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes generating content-based keywords based on content generated by users of a social network. The method includes labeling nodes comprising user nodes, which are representations of the users, with advertising labels comprising content-based keywords that coincide with advertiser-selected keywords that are based on one or more terms specified by an advertiser. The method also includes outputting, for each node, weights for the advertising labels based on weights of advertising labels associated with neighboring nodes, which are related to the node by a relationship.
摘要翻译：本说明书的主题可以包括基于社交网络的用户生成的内容生成基于内容的关键词的方法。该方法包括标示包括用户节点的节点，其是用户的表示，广告标签包括与基于广告商指定的一个或多个术语的广告商选择的关键字相符合的基于内容的关键字。该方法还包括针对每个节点，根据通过关系与节点相关联的与相邻节点相关联的广告标签的权重，输出广告标签的权重。

6. 发明授权

US08239418B1 Video-related recommendations using link structure 有权
标题翻译：视频相关建议使用链接结构
公开(公告)号：US08239418B1
公开(公告)日：2012-08-07
申请号：US13397576
申请日：2012-02-15
申请人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
发明人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
IPC分类号： G06F17/30
CPC分类号： G06F17/30035 , G06F17/30828 , G06Q30/02 , Y10S707/99942 , Y10S707/99945
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes inferring labels for videos, users, advertisements, groups of users, and other entities included in a social network system. The inferred labels can be used to generate recommendations such as videos or advertisements in which a user may be interested. Inferred labels can be generated based on social or other relationships derived from, for example, profiles or activities of social network users. Inferred labels can be advantageous when explicit information about these entities is not available. For example, a particular user may not have clicked on any online advertisements, so the user is not explicitly linked to any advertisements.
摘要翻译：本说明书的主题可以包括推断用于视频，用户，广告，用户组以及包括在社交网络系统中的其他实体的标签的方法。推断的标签可用于生成用户可能感兴趣的建议，如视频或广告。可以基于从例如社交网络用户的简档或活动导出的社会或其他关系来生成推断标签。当关于这些实体的显式信息不可用时，推断的标签可能是有利的。例如，特定用户可能没有点击任何在线广告，因此用户没有明确地链接到任何广告。

7. 发明申请

US20080275861A1 Inferring User Interests 有权
标题翻译：推荐用户兴趣
公开(公告)号：US20080275861A1
公开(公告)日：2008-11-06
申请号：US11742995
申请日：2007-05-01
申请人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
发明人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
IPC分类号： G06F7/00
CPC分类号： G06N5/02 , G06N99/005 , G06Q30/0274
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes determining, for a portion of users of a social network, label values each comprising an inferred interest level of a user in a subject indicated by a label, associating a first user with one or more second users based on one or more relationships specified by the first user, and outputting a first label value for the first user based on one or more second label values of the one or more second users.
摘要翻译：本说明书的主题可以包括一种方法，其包括为社交网络的用户的一部分确定每个包括由标签指示的对象中的用户的推定的兴趣级别的标签值，基于由第一用户指定的一个或多个关系将第一用户与一个或多个第二用户相关联，并且基于一个或多个第二用户的一个或多个第二标签值输出第一用户的第一标签值。

8. 发明授权

US08533236B1 Video-related recommendations using link structure 有权
标题翻译：视频相关建议使用链接结构
公开(公告)号：US08533236B1
公开(公告)日：2013-09-10
申请号：US13559302
申请日：2012-07-26
申请人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
发明人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
IPC分类号： G06F17/30
CPC分类号： G06F17/30035 , G06F17/30828 , G06Q30/02 , Y10S707/99942 , Y10S707/99945
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes inferring labels for videos, users, advertisements, groups of users, and other entities included in a social network system. The inferred labels can be used to generate recommendations such as videos or advertisements in which a user may be interested. Inferred labels can be generated based on social or other relationships derived from, for example, profiles or activities of social network users. Inferred labels can be advantageous when explicit information about these entities is not available. For example, a particular user may not have clicked on any online advertisements, so the user is not explicitly linked to any advertisements.
摘要翻译：本说明书的主题可以包括推断用于视频，用户，广告，用户组以及包括在社交网络系统中的其他实体的标签的方法。推断的标签可用于生成用户可能感兴趣的建议，如视频或广告。可以基于从例如社交网络用户的简档或活动导出的社会或其他关系来生成推断标签。当关于这些实体的显式信息不可用时，推断的标签可能是有利的。例如，特定用户可能没有点击任何在线广告，因此用户没有明确地链接到任何广告。

9. 发明授权

US08473500B2 Inferring user interests 有权
标题翻译：推荐用户兴趣
公开(公告)号：US08473500B2
公开(公告)日：2013-06-25
申请号：US13290455
申请日：2011-11-07
申请人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
发明人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
IPC分类号： G06F17/30 , G06F15/16
CPC分类号： G06N5/02 , G06N99/005 , G06Q30/0274
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes determining, for a portion of users of a social network, label values each comprising an inferred interest level of a user in a subject indicated by a label, associating a first user with one or more second users based on one or more relationships specified by the first user, and outputting a first label value for the first user based on one or more second label values of the one or more second users.
摘要翻译：本说明书的主题可以包括一种方法，其包括为社交网络的用户的一部分确定每个包括由标签指示的对象中的用户的推定的兴趣级别的标签值，基于由第一用户指定的一个或多个关系将第一用户与一个或多个第二用户相关联，并且基于一个或多个第二用户的一个或多个第二标签值输出第一用户的第一标签值。

10. 发明申请

US20110112916A1 Advertiser and User Association 有权
标题翻译：广告客户和用户协会
公开(公告)号：US20110112916A1
公开(公告)日：2011-05-12
申请号：US13007209
申请日：2011-01-14
申请人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
发明人： Shumeet Baluja , Yushi Jing , Dandapani Sivakumar , Jay Yagnik
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0274 , G06Q30/0277
摘要： The subject matter of this specification can be embodied in, among other things, a method that includes generating content-based keywords based on content generated by users of a social network. The method includes labeling nodes comprising user nodes, which are representations of the users, with advertising labels comprising content-based keywords that coincide with advertiser-selected keywords that are based on one or more terms specified by an advertiser. The method also includes outputting, for each node, weights for the advertising labels based on weights of advertising labels associated with neighboring nodes, which are related to the node by a relationship.
摘要翻译：本说明书的主题可以包括基于社交网络的用户生成的内容生成基于内容的关键词的方法。该方法包括标示包括用户节点的节点，其是用户的表示，广告标签包括与基于广告商指定的一个或多个术语的广告商选择的关键字相符合的基于内容的关键字。该方法还包括针对每个节点，根据通过关系与节点相关联的与相邻节点相关联的广告标签的权重，输出广告标签的权重。

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