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11. 发明授权

US07519586B2 Method of searching 有权
标题翻译：搜索方法
公开(公告)号：US07519586B2
公开(公告)日：2009-04-14
申请号：US10835989
申请日：2004-04-30
申请人： Shanmugasundaram Ravikumar , Daniel M. Shiffman , Dandapani Sivakumar
发明人： Shanmugasundaram Ravikumar , Daniel M. Shiffman , Dandapani Sivakumar
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30696 , G06Q20/102 , G06Q40/04 , Y10S707/99935
摘要： A method of searching that comprises receiving a user query from a user. After receiving the user query, the method performs a search based on the user query to produce results that are ranked. The results comprise references to entities. The method contacts the entities to determine whether entities in the results desire to change their rank in the results, and charges entities that increase their rank. After charging the entities and changing rankings of the results, the method reports the results with changed rankings to the user, and credits entities that decrease their rank.
摘要翻译：一种搜索方法，包括从用户接收用户查询。在接收到用户查询之后，该方法基于用户查询执行搜索以产生排名的结果。结果包括对实体的引用。该方法与实体联系，以确定结果中的实体是否希望在结果中更改其排名，并对增加其排名的实体进行收费。在对实体收取费用并更改结果排名后，该方法会将用户的排名更改结果和降低排名的积分实体进行报告。

12. 发明授权

US07188106B2 System and method for aggregating ranking results from various sources to improve the results of web searching 有权
标题翻译：用于聚合来自各种来源的排名结果的系统和方法，以改进网络搜索的结果
公开(公告)号：US07188106B2
公开(公告)日：2007-03-06
申请号：US10136911
申请日：2002-04-30
申请人： Cynthia Dwork , Simeon Naor , Shanmugasundaram Ravikumar , Dandapani Sivakumar
发明人： Cynthia Dwork , Simeon Naor , Shanmugasundaram Ravikumar , Dandapani Sivakumar
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99936
摘要： A system and method for aggregating rankings from a plurality of ranking sources to generate a maximally consistent ranking by minimizing a distance measure. The ranking sources may be search engines executing queries on web pages that have been deliberately modified to cause an incorrect estimate of their relevance. The invention supports combining partial rankings.
摘要翻译：一种用于聚合来自多个排序源的排名以通过最小化距离度量来生成最大一致排名的系统和方法。排名来源可能是搜索引擎在网页上执行查询，这些查询已被故意修改，导致其相关性的错误估计。本发明支持组合部分排名。

13. 发明授权

US09158775B1 Scoring stream items in real time 有权
标题翻译：实时评分流项目
公开(公告)号：US09158775B1
公开(公告)日：2015-10-13
申请号：US13098110
申请日：2011-04-29
申请人： Andrew Tomkins , Dandapani Sivakumar , Sangsoo Sung , Justin Kosslyn , Todd Jackson , Andre Rohe , Ya Luo , Andrew Bunner , Sasha Sobol , Luca de Alfaro
发明人： Andrew Tomkins , Dandapani Sivakumar , Sangsoo Sung , Justin Kosslyn , Todd Jackson , Andre Rohe , Ya Luo , Andrew Bunner , Sasha Sobol , Luca de Alfaro
IPC分类号： G06F17/30
CPC分类号： H04L67/10 , G06F12/06 , G06F17/30 , G06F17/30029 , G06F17/30041 , G06F17/30044 , G06F17/3005 , G06F17/30864 , G06F17/30867 , G06N5/00 , G06Q30/02 , H04L65/60 , H04L65/602 , H04L67/32
摘要： A system and method for generating a real-time stream of content from heterogeneous data sources and a real-time index. The heterogeneous data sources include search, entertainment, social activity and activity on third-party sites. A fetching unit retrieves recent content that is indexed in the real-time index according to keywords. A model generation engine generates a model based on user activities. The mixer compares candidate content items from the heterogeneous data sources and the real-time index to the model to generate scores for each item and generates a stream of content based on the scores.
摘要翻译：一种用于从异构数据源和实时索引生成实时内容流的系统和方法。异构数据源包括第三方网站的搜索，娱乐，社交活动和活动。提取单元根据关键字检索在实时索引中索引的最近内容。模型生成引擎基于用户活动生成模型。混合器将异构数据源的候选内容项和实时索引与模型进行比较，以生成每个项目的分数，并基于分数生成内容流。

14. 发明授权

US08756241B1 Determining rewrite similarity scores 有权
标题翻译：确定重写相似性分数
公开(公告)号：US08756241B1
公开(公告)日：2014-06-17
申请号：US13567191
申请日：2012-08-06
申请人： Shripad V. Thite , Dandapani Sivakumar
发明人： Shripad V. Thite , Dandapani Sivakumar
IPC分类号： G06F17/30
CPC分类号： G06F17/30672 , G06Q10/00
摘要： Methods, systems, and apparatus, including computer program products, for determining rewrite source-rewrite target similarity scores. In one aspect the method includes receiving a rewrite source-rewrite target pair; identifying first queries that include the rewrite source and second queries that include the rewrite target; identifying a first web document referenced by a first search result responsive to the first query; identifying third queries for which the first web document was referenced by a third search result responsive to the third query; identifying a second web document that was referenced by a second search result responsive to the second query; identifying one or more fourth queries for which the second web document was referenced by a fourth search result responsive to the fourth query; and determining a similarity score for the rewrite source-rewrite target pair based on a measure of matching terms between third query terms and fourth query terms.
摘要翻译：用于确定重写源重写目标相似性分数的方法，系统和装置，包括计算机程序产品。一方面，该方法包括接收重写源重写目标对; 识别包括重写源的第一查询和包括重写目标的第二查询; 识别响应于所述第一查询的由第一搜索结果引用的第一web文档; 识别响应于第三查询的第三搜索结果引用第一web文档的第三查询; 识别响应于所述第二查询的由第二搜索结果引用的第二web文档; 通过响应于第四查询的第四搜索结果来识别第二web文档被引用的一个或多个第四查询; 以及基于第三查询词和第四查询词之间的匹配项的度量来确定重写源重写目标对的相似性得分。

15. 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。

16. 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。

17. 发明授权

US07895196B2 Computer system for identifying storylines that emerge from highly ranked web search results 失效
标题翻译：用于识别从高排名网页搜索结果中出现的故事情节的计算机系统
公开(公告)号：US07895196B2
公开(公告)日：2011-02-22
申请号：US10835983
申请日：2004-04-30
申请人： Uma Mahadevan , Shanmugasundaram Ravikumar , Dandapani Sivakumar
发明人： Uma Mahadevan , Shanmugasundaram Ravikumar , Dandapani Sivakumar
IPC分类号： G06F17/30
CPC分类号： G06F17/30864
摘要： This disclosure provides a method of and service for searching for locations (e.g., web sites) on a network (e.g., the internet). The method begins by inputting a query from a user and searching the internet based on the query to produce search results (comprising web sites) in an order of relevance, where more relevant results are ordered ahead of less relevant results. However, rather than directly reporting the search results to the user as conventional search methodologies do, the invention reorganizes the search results into storylines. More specifically, the invention identifies focused vocabularies from the search results, where each focused vocabulary forms a separate storyline. In addition, the invention maximizes the number of search results that are included in each storyline, minimizes the number of search results that are included in multiple storylines; and also minimizes the number of storylines. Then the invention reports the storylines to the user.
摘要翻译：本公开提供了用于搜索网络（例如，互联网）上的位置（例如，网站）的方法和服务。该方法通过从用户输入查询并基于查询搜索互联网，以相关性的顺序产生搜索结果（包括网站），其中在相关结果较少的情况下排序更相关的结果。然而，传统的搜索方法不是将搜索结果直接报告给用户，而是将搜索结果重新组织成故事情节。更具体地，本发明从搜索结果中识别重点词汇，其中每个聚焦词汇形成单独的故事情节。此外，本发明使包含在每个故事情节中的搜索结果的数量最大化，使包含在多个故事情节中的搜索结果的数量最小化; 并最大程度地减少故事情节的数量。然后，本发明向用户报告故事情节。

18. 发明授权

US07519582B2 System and method for performing a high-level multi-dimensional query on a multi-structural database 失效
标题翻译：用于在多结构数据库上执行高级多维查询的系统和方法
公开(公告)号：US07519582B2
公开(公告)日：2009-04-14
申请号：US11151056
申请日：2005-06-13
申请人： Ronald Fagin , Ramanathan V. Guha , Phokion Gerasimos Kolaitis , Jasmine Gina Novak , Shanmugasundaram Ravikumar , Dandapani Sivakumar , Andrew Stephen Tomkins
发明人： Ronald Fagin , Ramanathan V. Guha , Phokion Gerasimos Kolaitis , Jasmine Gina Novak , Shanmugasundaram Ravikumar , Dandapani Sivakumar , Andrew Stephen Tomkins
IPC分类号： G06F17/30
CPC分类号： G06F17/30592 , Y10S707/99933
摘要： A multi-structural query system performs a high-level multi-dimensional query on a multi-structural database. The query system enables a user to navigate a search by adding restrictions incrementally. The query system uses a schema to discover structure in a multi-structural database. The query system leaves a choice of nodes to return in response to a query as a constrained set of choices available to the algorithm. The query system further casts the selection of a set of nodes as an optimization. The query system uses pairwise-disjoint collections to capture a concise set of highlights of a data set within the allowed schema. The query system further comprises efficient algorithms that yield approximately optimal solutions for several classes of objective functions.
摘要翻译：多结构查询系统在多结构数据库上执行高级多维查询。查询系统使用户能够逐步添加限制来导航搜索。查询系统使用模式来发现多结构数据库中的结构。查询系统使得响应于查询返回的节点的选择作为算法可用的约束的选择集合。查询系统进一步将一组节点的选择作为优化。查询系统使用成对不相交的集合来捕获允许的模式中数据集的一组精简集。该查询系统还包括对几类目标函数产生近似最优解的有效算法。

19. 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。

20. 发明申请

US20050262050A1 System, method and service for ranking search results using a modular scoring system 有权
标题翻译：使用模块化评分系统对搜索结果进行排名的系统，方法和服务
公开(公告)号：US20050262050A1
公开(公告)日：2005-11-24
申请号：US10841391
申请日：2004-05-07
申请人： Ronald Fagin , Kevin McCurley , Jasmine Novak , Shanmugasundram Ravikumar , Dandapani Sivakumar , John Tomlin , Devid Williamson
发明人： Ronald Fagin , Kevin McCurley , Jasmine Novak , Shanmugasundram Ravikumar , Dandapani Sivakumar , John Tomlin , Devid Williamson
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30864 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99936 , Y10S707/99937 , Y10S707/99945
摘要： A modular scoring system using rank aggregation merges search results into an ordered list of results using many different features of documents. The ranking functions of the present system can easily be customized to the needs of a particular corpus or collection of users such as an intranet. Rank aggregation is independent of the underlying score distributions between the different factors, and can be applied to merge any set of ranking functions. Rank aggregation holds the advantage of combining the influence of many different heuristic factors in a robust way to produce high-quality results for queries. The modular scoring system combines factors such as indegree, page ranking, URL length, proximity to the root server of an intranet, etc, to form a single ordering on web pages that closely obeys the individual orderings, but also mediates between the collective wisdom of individual heuristics.
摘要翻译：使用秩聚合的模块评分系统将搜索结果合并到使用许多不同文档特征的结果的有序列表中。本系统的排名功能可以根据特定语料库或诸如内部网的用户集合的需要进行定制。排名聚合独立于不同因素之间的底层分数分布，并且可以应用于合并任何一组排名函数。排名聚合具有将许多不同启发式因素的影响结合在一起的优势，可以为查询产生高质量的结果。模块化评分系统结合诸如不分级，页面排序，URL长度，与内部网的根服务器的接近度等因素，在严格遵循单个排序的网页上形成单一排序，而且还在集体智慧之间进行调解个人启发式

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