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1. 发明申请

WO2006050278A3 SEARCH SYSTEM AND METHODS WITH INTEGRATION OF USER JUDGMENTS INCLUDING TRUST NETWORKS 审中-公开
标题翻译：包括信任网络在内的用户判断的搜索系统和方法
公开(公告)号：WO2006050278A3
公开(公告)日：2009-04-09
申请号：PCT/US2005039297
申请日：2005-10-28
申请人： YAHOO INC , QI LU , ECKART WALTHER , DAVID KU , CHUNG-MAN TAM , KEVIN LEE , ZHICHEN XU , PAVEL BERKHIN , AMR AWADALLAH A , ALI DIAB
发明人： QI LU , ECKART WALTHER , DAVID KU , CHUNG-MAN TAM , KEVIN LEE , ZHICHEN XU , PAVEL BERKHIN , AMR AWADALLAH A , ALI DIAB
IPC分类号： G06F7/00 , G06F15/173 , G06F17/30
CPC分类号： G06F17/30867
摘要： Search systems and methods incorporate user judgment information regarding various pages or sites. This information may include judgments from the querying user as well as from other users selected by the querying user as members of his or her "trust network." When a query is received from a user, the list of hits related to the query can be modified based on a user judgment previously provided by the user as well as other user judgments previously provided by members of a trust network defined by the querying user. The user can construct a trust network from social network data representing the user's relationships to other users.
摘要翻译：搜索系统和方法包括关于各种页面或站点的用户判断信息。该信息可以包括来自查询用户以及由查询用户选择的其他用户作为他或她的“信任网络”的成员的判断。当从用户接收到查询时，可以基于用户先前提供的用户判断以及先前由查询用户定义的信任网络的成员提供的其他用户判断来修改与查询相关的命中列表。用户可以从表示与其他用户的用户关系的社交网络数据构建信任网络。

2. 发明申请

WO2006073542A2 SEARCH SYSTEM AND METHODS WITH INTEGRATION OF USER ANNOTATIONS FROM A TRUST NETWORK 审中-公开
标题翻译：搜索系统和方法与信任网络的用户评论集成
公开(公告)号：WO2006073542A2
公开(公告)日：2006-07-13
申请号：PCT/US2005/039049
申请日：2005-10-27
申请人： YAHOO|, INC. , QI, Lu , ECKART, Walther , KU, David , CHUNG-MAN, Tam , LEE, Kevin , ZHICHEN, Xu , PAVEL, Berkhin , AMR, Awadallah, A. , ALI, Diab , NORTON, Kenneth , JIANCHANG, Mao
发明人： QI, Lu , ECKART, Walther , KU, David , CHUNG-MAN, Tam , LEE, Kevin , ZHICHEN, Xu , PAVEL, Berkhin , AMR, Awadallah, A. , ALI, Diab , NORTON, Kenneth , JIANCHANG, Mao
IPC分类号： G06F17/30
CPC分类号： G06F17/30525 , G06F17/30867 , G06F17/30899 , H04L51/32
摘要： Computer systems and methods incorporate user annotations (metadata) regarding various pages or sites, including annotations by, querying user and by members of a trust network defined for the querying user into search and browsing of a corpus such as the World Wide Web. A trust network is defined for each uses, and annotations by any member of a first user's trust network are made visible to the first user during search and/or browsing of the corpus. Users can also limit searches to content annotated by members of their trust networks or by members of a community selected by the user.
摘要翻译：计算机系统和方法包括关于各种页面或站点的用户注释（元数据），包括对用户以及为查询用户定义的信任网络的成员的注释，用于搜索和浏览诸如万维网的语料库的注释。为每个使用定义了信任网络，并且在搜索和/或浏览语料库期间使第一用户的信任网络的任何成员的注释对于第一用户可见。用户还可以将搜索限制在其信任网络的成员注释的内容或由用户选择的社区的成员。

3. 发明申请

WO2006050278A2 SEARCH SYSTEM AND METHODS WITH INTEGRATION OF USER JUDGMENTS INCLUDING TRUST NETWORKS 审中-公开
标题翻译：包括信任网络在内的用户判断的搜索系统和方法
公开(公告)号：WO2006050278A2
公开(公告)日：2006-05-11
申请号：PCT/US2005/039297
申请日：2005-10-28
申请人： YAHOO!, INC. , QI, Lu , ECKART, Walther , DAVID, Ku , CHUNG-MAN, Tam , KEVIN, Lee , ZHICHEN, Xu , PAVEL, Berkhin , AMR, Awadallah, A. , ALI, Diab
发明人： QI, Lu , ECKART, Walther , DAVID, Ku , CHUNG-MAN, Tam , KEVIN, Lee , ZHICHEN, Xu , PAVEL, Berkhin , AMR, Awadallah, A. , ALI, Diab
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： Search systems and methods incorporate user judgment information regarding various pages or sites. This information may include judgments from the querying user as well as from other users selected by the querying user as members of his or her "trust network." When a query is received from a user, the list of hits related to the query can be modified based on a user judgment previously provided by the user as well as other user judgments previously provided by members of a trust network defined by the querying user. The user can construct a trust network from social network data representing the user's relationships to other users.
摘要翻译：搜索系统和方法包括关于各种页面或站点的用户判断信息。该信息可以包括来自查询用户以及由查询用户选择的其他用户作为他或她的“信任网络”的成员的判断。当从用户接收到查询时，可以基于用户先前提供的用户判断以及先前由查询用户定义的信任网络的成员提供的其他用户判断来修改与查询相关的命中列表。用户可以从表示与其他用户的用户关系的社交网络数据构建信任网络。

4. 发明授权

US08086605B2 Search engine with augmented relevance ranking by community participation 有权
标题翻译：通过社区参与增强相关性排名的搜索引擎
公开(公告)号：US08086605B2
公开(公告)日：2011-12-27
申请号：US11478291
申请日：2006-06-28
申请人： Zhichen Xu , Pavel Berkhin , Daniel E. Rose , Jianchang Mao , David Ku , Qi Lu , Eckart Walther , Chung-Man Tam
发明人： Zhichen Xu , Pavel Berkhin , Daniel E. Rose , Jianchang Mao , David Ku , Qi Lu , Eckart Walther , Chung-Man Tam
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30616 , G06F17/30867 , Y10S707/99932 , Y10S707/99933
摘要： Embodiments of the present invention provide systems and methods for ranking a result set. The method according to one embodiment comprises selecting an item from the result set, selecting a user profile from one or more user profiles and selecting one or more items of personalized information from the selected user profile. A rank is calculated for the item on the basis of the selected one or more items of personalized information and the selected item in the result set is ranked in accordance with the calculated rank.
摘要翻译：本发明的实施例提供了用于对结果集进行排名的系统和方法。根据一个实施例的方法包括从结果集中选择项目，从一个或多个用户简档中选择用户简档，并从所选择的用户简档中选择一个或多个个性化信息项。基于所选择的一个或多个个性化信息项目来计算项目的等级，并且根据所计算的等级对结果集中的所选项目进行排名。

5. 发明申请

US20110131160A1 Method and System for Generating A Linear Machine Learning Model for Predicting Online User Input Actions 有权
标题翻译：用于生成用于预测在线用户输入操作的线性机器学习模型的方法和系统
公开(公告)号：US20110131160A1
公开(公告)日：2011-06-02
申请号：US13018303
申请日：2011-01-31
申请人： John Canny , Shi Zhong , Scott Gaffney , Chad Brower , Pavel Berkhin , George H. John
发明人： John Canny , Shi Zhong , Scott Gaffney , Chad Brower , Pavel Berkhin , George H. John
IPC分类号： G06F15/18
CPC分类号： G06Q30/02
摘要： A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.
摘要翻译：定向的方法接收几个粒度事件并预处理所接收的粒状事件，从而生成预处理的数据，以便于基于粒状事件构建模型。该方法通过使用预处理数据生成预测模型。预测模型用于确定用户动作的可能性。该方法训练预测模型。用于定位的系统包括粒状事件，用于接收粒度事件的预处理器，模型生成器和模型。预处理器具有一个或多个用于修剪，聚合，聚类和/或过滤中的至少一个的模块。模型生成器用于基于粒度事件构建模型，模型用于确定用户操作的可能性。一些实施例的系统还包括若干用户，用于从几个用户中选择特定用户组的选择器，训练模型和评分模块。

6. 发明授权

US07921069B2 Granular data for behavioral targeting using predictive models 有权
标题翻译：使用预测模型的行为定位的粒度数据
公开(公告)号：US07921069B2
公开(公告)日：2011-04-05
申请号：US11770413
申请日：2007-06-28
申请人： John Canny , Shi Zhong , Scott Gaffney , Chad Brower , Pavel Berkhin , George H. John
发明人： John Canny , Shi Zhong , Scott Gaffney , Chad Brower , Pavel Berkhin , George H. John
IPC分类号： G06F17/00 , G06N5/02
CPC分类号： G06Q30/02
摘要： A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the pre-processed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive mode. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.
摘要翻译：定向的方法接收几个粒度事件并预处理所接收的粒状事件，从而生成预处理的数据，以便于基于粒状事件构建模型。该方法通过使用预处理数据生成预测模型。预测模型用于确定用户动作的可能性。该方法训练预测模式。用于定位的系统包括粒状事件，用于接收粒度事件的预处理器，模型生成器和模型。预处理器具有一个或多个用于修剪，聚合，聚类和/或过滤中的至少一个的模块。模型生成器用于基于粒度事件构建模型，模型用于确定用户操作的可能性。一些实施例的系统还包括若干用户，用于从几个用户中选择特定用户组的选择器，训练模型和评分模块。

7. 发明申请

US20100023513A1 USER-SENSITIVE PAGERANK 有权
标题翻译：用户敏感的PAGERANK
公开(公告)号：US20100023513A1
公开(公告)日：2010-01-28
申请号：US12576679
申请日：2009-10-09
申请人： Pavel Berkhin , Usama M. Fayyad , Prabhakar Raghavan , Andrew Tomkins
发明人： Pavel Berkhin , Usama M. Fayyad , Prabhakar Raghavan , Andrew Tomkins
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , Y10S707/99935 , Y10S707/99936
摘要： Techniques are described for generating an authority value of a first one of a plurality of documents. A first component of the authority value is generated with reference to outbound links associated with the first document. The outbound links enable access to a first subset of the plurality of documents. A second component of the authority value is generated with reference to a second subset of the plurality of documents. Each of the second subset of documents represents a potential starting point for a user session. A third component of the authority value is generated representing a likelihood that a user session initiated by any of a population of users will end with the first document. The first, second, and third components of the authority value are combined to generate the authority value. At least one of the first, second, and third components of the authority value is computed with reference to user data relating to at least some of the outbound links and the second subset of documents.
摘要翻译：描述了用于生成多个文档中的第一个的授权值的技术。参考与第一个文档相关联的出站链接生成权限值的第一个组件。出站链接使得能够访问多个文档的第一子集。参考多个文档的第二子集来生成权限值的第二个组件。文档的第二子集中的每一个代表用户会话的潜在起始点。生成授权值的第三个组成部分，表示任何用户群体启动的用户会话将以第一个文档结束的可能性。组合权限值的第一，第二和第三组件以生成权限值。参考与至少一些出站链接和第二文档子集相关的用户数据来计算授权值的第一，第二和第三组件中的至少一个。

8. 发明申请

US20080148106A1 EVALUATING PERFORMANCE OF BINARY CLASSIFICATION SYSTEMS 有权
标题翻译：评估二进制分类系统的性能
公开(公告)号：US20080148106A1
公开(公告)日：2008-06-19
申请号：US11612004
申请日：2006-12-18
申请人： Richard Tao-Hwa Chow , Pavel Berkhin , Elena Eneva , Boris Klots , Nicolas Eddy Mayoraz , Rajesh Girish Parekh
发明人： Richard Tao-Hwa Chow , Pavel Berkhin , Elena Eneva , Boris Klots , Nicolas Eddy Mayoraz , Rajesh Girish Parekh
IPC分类号： G06F11/00 , G06Q10/00
CPC分类号： G06Q30/0248 , G06Q10/0635 , G06Q30/0185 , G06Q30/02
摘要： Methods and apparatus are described for evaluating a binary classification system operable to classify each of a plurality of events as a first event type or a second event type. At least some of the events of the first event type are independently verifiable with reference to verification data. The binary classification system is susceptible to a first error type in which events of the first event type are classified as the second event type, and a second error type in which events of the second event type are classified as the first event type. Operation of a first configuration of the binary classification system is evaluated with reference to an objective function. The objective function is derived by expressing a number of errors of the second error type in terms of a number of errors of the first error type with reference to the verification data, and by assuming relative proportions of the first and second event types within the plurality of events.
摘要翻译：描述了用于评估用于将多个事件中的每一个分类为第一事件类型或第二事件类型的二进制分类系统的方法和装置。参考验证数据，可以独立地验证第一事件类型的至少一些事件。二进制分类系统易于将第一事件类型的事件分类为第二事件类型的第一错误类型和将第二事件类型的事件分类为第一事件类型的第二错误类型。参照目标函数对二进制分类系统的第一配置的操作进行评估。目标函数是通过参照验证数据表示第一错误类型的错误数量的第二错误类型的错误数，并且假设多个中的第一和第二事件类型的相对比例的事件。

9. 发明申请

US20080140489A1 BID OPTIMIZATION IN SEARCH ENGINE MARKETING 有权
标题翻译：搜索引擎市场的优化
公开(公告)号：US20080140489A1
公开(公告)日：2008-06-12
申请号：US11609782
申请日：2006-12-12
申请人： Pavel Berkhin , Usama M. Fayyad , Scott Gaffney , Bassel Ojjeh , Rajesh Girish Parekh , Andrew Tomkins
发明人： Pavel Berkhin , Usama M. Fayyad , Scott Gaffney , Bassel Ojjeh , Rajesh Girish Parekh , Andrew Tomkins
IPC分类号： G06Q10/00
CPC分类号： G06Q30/0244 , G06Q10/04 , G06Q10/06 , G06Q30/02 , G06Q30/0249 , G06Q30/0275
摘要： Methods and apparatus are described for optimally allocating an online advertising budget for a search engine marketing (SEM) campaign among a fixed set of keywords.
摘要翻译：描述了用于在一组固定的关键字之中为搜索引擎营销（SEM）活动最佳地分配在线广告预算的方法和装置。

10. 发明申请

US20070282785A1 Keyword set and target audience profile generalization techniques 有权
标题翻译：关键字集和目标受众概况泛化技术
公开(公告)号：US20070282785A1
公开(公告)日：2007-12-06
申请号：US11444996
申请日：2006-05-31
申请人： Usama M. Fayyad , Pavel Berkhin , Andrew Tomkins , Rajesh Girish Parekh , Jignashu Parikh , David Wellspring Sculley
发明人： Usama M. Fayyad , Pavel Berkhin , Andrew Tomkins , Rajesh Girish Parekh , Jignashu Parikh , David Wellspring Sculley
IPC分类号： G06F17/30
CPC分类号： G06F17/30699 , G06Q30/0207 , G06Q30/0244
摘要： A variety of techniques are described by which keyword sets and target audience profiles may be generalized in a systematic and effective way with reference to relationships between keywords, profiles, and the data of an underlying user population.
摘要翻译：描述各种技术，参考关键字，简档和底层用户群体的数据之间的关系，哪些关键词集和目标受众简档可以以系统和有效的方式被概括。

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