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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. 发明申请

US20130346219A1 BID ESTIMATION FOR CONTEXTUAL ADVERTISEMENTS 审中-公开
标题翻译：比较广告估价
公开(公告)号：US20130346219A1
公开(公告)日：2013-12-26
申请号：US13532310
申请日：2012-06-25
申请人： Ye Chen , Pavel Berkhin , Jie Li , Xia Sharon Wan , Tak Yan
发明人： Ye Chen , Pavel Berkhin , Jie Li , Xia Sharon Wan , Tak Yan
IPC分类号： G06Q30/02
CPC分类号： G06Q30/02
摘要： Methods and systems for estimating the value of a contextual ad impression are provided. Requests for value-based bids for ad impressions are received from bidders and the value of the ad impression is estimated based primarily upon leveraging sell-side data (user and publisher). The estimation is highly economized through a fast implementation of k-nearest-neighbor (kNN) regression. Embodiments of the present invention further address the cold-start problem or the exploration vs. exploitation requirement by Bayesian (hierarchical) smoothing using a beta prior, and adapt to the temporal dynamics using an autoregressive model to decay importance of certain data.
摘要翻译：提供了用于估计内容相关广告展示价值的方法和系统。从投标人那里收到广告展示的基于价值的出价请求，主要是利用卖方数据（用户和发布商）来估计广告展示的价值。通过快速实现k-最近邻（kNN）回归，估计是高度节省的。本发明的实施例进一步解决了使用β先验的贝叶斯（分层）平滑的冷启动问题或勘探与开发要求，并且使用自回归模型适应时间动力学以衰减某些数据的重要性。

5. 发明授权

US08554622B2 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：US08554622B2
公开(公告)日：2013-10-08
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： G06Q30/00
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。

6. 发明申请

US20100179855A1 Large-Scale Behavioral Targeting for Advertising over a Network 有权
标题翻译：通过网络广告的大规模行为定位
公开(公告)号：US20100179855A1
公开(公告)日：2010-07-15
申请号：US12351749
申请日：2009-01-09
申请人： Ye Chen , Dmitry Pavlov , Pavel Berkhin , John Canny
发明人： Ye Chen , Dmitry Pavlov , Pavel Berkhin , John Canny
IPC分类号： G06Q10/00 , G06F17/30 , G06F7/08 , G06N5/02
CPC分类号： G06Q30/02 , G06Q10/063 , G06Q10/0637 , G06Q10/0639 , G06Q30/0201 , G06Q30/0202 , G06Q30/0206
摘要： A method and a system are provided for large-scale behavioral targeting for advertising over a network, such as the Internet. In one example, the system receives training data that is processed raw data of user behavior. The system generates selected features by performing feature selection on the training data. The system generates feature vectors from the selected features. The system initializes weights of a behavioral targeting model by scanning the feature vectors once. The system then updates the weights of the behavioral targeting model by scanning iteratively the feature vectors using a multiplicative recurrence.
摘要翻译：提供了一种方法和系统，用于通过网络（如Internet）进行广告的大规模行为定位。在一个示例中，系统接收处理用户行为的原始数据的训练数据。系统通过对训练数据执行特征选择来生成选定的特征。系统从所选特征生成特征向量。系统通过扫描特征向量一次来初始化行为定位模型的权重。然后，系统通过使用乘法复现来迭代地扫描特征向量来更新行为定向模型的权重。

7. 发明申请

US20090100051A1 DIFFERENTIATED TREATMENT OF SPONSORED SEARCH RESULTS BASED ON SEARCH CONTEXT 审中-公开
标题翻译：基于搜索条件的赞助搜索结果的差异化治疗
公开(公告)号：US20090100051A1
公开(公告)日：2009-04-16
申请号：US11870008
申请日：2007-10-10
申请人： Rushi Bhatt , Jignashu Parikh , Rajesh Girish Parekh , Pavel Berkhin
发明人： Rushi Bhatt , Jignashu Parikh , Rajesh Girish Parekh , Pavel Berkhin
IPC分类号： G06F17/30
CPC分类号： G06Q30/02 , G06F16/9535
摘要： Methods and apparatus are described for presenting sponsored search results. A user is enabled to initiate a search from a context. The sponsored search results and organic search results are presented in a search results page in response to the search, an order of the sponsored search results and placement of subsets of the sponsored search results relative to the organic search results in the search results page having been determined with reference to contextual information relating to the context.
摘要翻译：描述了用于呈现赞助搜索结果的方法和装置。用户可以从上下文启动搜索。赞助的搜索结果和有机搜索结果在搜索结果页面中呈现在搜索结果页面中，以搜索结果页面，搜索结果页面中的赞助搜索结果的顺序和赞助搜索结果相对于自然搜索结果的子集的位置参考与上下文相关的上下文信息确定。

8. 发明申请

US20080028066A1 System and method for population-targeted advertising 有权
标题翻译：以人口为目标的广告系统和方法
公开(公告)号：US20080028066A1
公开(公告)日：2008-01-31
申请号：US11495269
申请日：2006-07-27
申请人： Pavel Berkhin , Shanmugasundaram Ravikumar , Andrew Tomkins , John Anthony Tomlin
发明人： Pavel Berkhin , Shanmugasundaram Ravikumar , Andrew Tomkins , John Anthony Tomlin
IPC分类号： G06F15/173
CPC分类号： G06F17/30702 , G06F17/30864 , G06F17/30867 , G06Q30/02 , H04L67/02 , H04L67/20 , H04L67/306
摘要： An improved system and method for web destination profiling for online population-targeted advertising is provided. A web destination profiler may be provided for generating web destination profiles. Traffic may be analyzed at a particular web destination in order to understand the population visiting the web destination. The analysis of user traffic, including differentiated clickstream data, may be applied for determining known characteristics of a web destination profile. Moreover, unknown characteristics of a web destination profile may be determined using a variety of techniques including inferring characteristics by modeling traffic flow through other web destinations, estimating characteristics from other web destination profiles by predicting traffic flow through other web destinations, propagating characteristics to a web destination profile by smoothing a joint distribution of characteristics of other web destination profiles, and so forth. Web destination profiles may be used by applications such as an online application for population-targeted advertising.
摘要翻译：提供了一种用于在线面向对象广告的Web目标分析的改进的系统和方法。可以提供web目的地分析器来生成web目的地简档。可以在特定的网络目的地分析流量，以了解访问网络目的地的人口。用户流量的分析（包括差分点击流数据）可以被应用于确定web目的地简档的已知特征。此外，可以使用各种技术来确定web目的地简档的未知特性，包括通过建模通过其他web目的地的业务流来推断特征，通过预测通过其他web目的地的业务流来估计来自其他web目的地简档的特征，将特征传播到web 通过平滑其他web目的地简档的特征的联合分布等来实现目的地简档。 Web目标配置文件可能被诸如在线应用程序的应用程序用于针对人口的广告。

9. 发明申请

US20080021859A1 Multi-tiered storage 有权
标题翻译：多层存储
公开(公告)号：US20080021859A1
公开(公告)日：2008-01-24
申请号：US11489885
申请日：2006-07-19
申请人： Pavel Berkhin , Usama M. Fayyad , Shanmugasundaram Ravikumar
发明人： Pavel Berkhin , Usama M. Fayyad , Shanmugasundaram Ravikumar
IPC分类号： G06F17/30
CPC分类号： G06F17/30221 , G06F3/0605 , G06F3/0631 , G06F3/0685 , Y10S707/99931 , Y10S707/99955
摘要： Methods and apparatus are described for storing a plurality of objects in a plurality of storage options. An importance index is generated for each of the plurality of objects with reference to importance data associated with each object. At least a portion of the importance data represents relevance of the associated object relative to a population of users interacting with the plurality of objects. Each of the objects is stored in a selected one of the storage options with reference to the corresponding importance index and a hierarchy of the storage options. The hierarchy of storage options represents at least partial ordering of the storage options with reference to economic costs and efficiency of retrieval.
摘要翻译：描述了用于将多个对象存储在多个存储选项中的方法和装置。参考与每个对象相关联的重要性数据，为多个对象中的每一个生成重要性索引。重要性数据的至少一部分表示相关对象相对于与多个对象交互的用户群体的相关性。参考相应的重要性索引和存储选项的层次结构，将每个对象存储在选定的一个存储选项中。参考经济成本和检索效率，存储选项的层次结构至少代表存储选项的部分排序。

10. 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。

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