公开(公告)号：US08972399B2

公开(公告)日：2015-03-03

申请号：US13531488

申请日：2012-06-22

申请人： Paul Nathan Bennett ,  Emre Mehmet Kiciman ,  Peter Richard Bailey ,  Nikhil Dandekar ,  Huizhong Duan

发明人： Paul Nathan Bennett ,  Emre Mehmet Kiciman ,  Peter Richard Bailey ,  Nikhil Dandekar ,  Huizhong Duan

IPC分类号： G06F17/30

CPC分类号： G06F17/30867

摘要： Various technologies described herein pertain to using social activity data to personalize ranking of results returned by a computing operation for a user. For each of the results returned by the computing operation, a respective first affinity of the user to a corresponding result and a respective second affinity of the user to the corresponding result can be calculated and used for ranking the results. The respective first affinity of the user to the corresponding result can be calculated based on correlations between social activity data of the user and social activity data of a first group of historical users that clicked the corresponding result. Moreover, the respective second affinity of the user to the corresponding result can be calculated based on correlations between the social activity data of the user and social activity data of a second group of historical users that skipped the corresponding results.

摘要翻译： 本文描述的各种技术涉及使用社交活动数据来个性化由用户计算操作返回的结果的排名。 对于通过计算操作返回的每个结果，可以计算用户对相应结果的相应第一亲和度和用户对相应结果的相应第二亲和度，并用于对结果进行排名。 可以基于用户的社交活动数据和点击相应结果的第一组历史用户的社交活动数据之间的相关性来计算用户对相应结果的第一亲和度。 此外，可以基于用户的社交活动数据和跳过相应结果的第二组历史用户的社交活动数据之间的相关性来计算用户对相应结果的相应第二亲和度。

公开(公告)号：US20130346404A1

公开(公告)日：2013-12-26

申请号：US13531488

申请日：2012-06-22

申请人： Paul Nathan Bennett ,  Emre Mehmet Kiciman ,  Peter Richard Bailey ,  Nikhil Dandekar ,  Huizhong Duan

发明人： Paul Nathan Bennett ,  Emre Mehmet Kiciman ,  Peter Richard Bailey ,  Nikhil Dandekar ,  Huizhong Duan

IPC分类号： G06F17/30

CPC分类号： G06F17/30867

摘要： Various technologies described herein pertain to using social activity data to personalize ranking of results returned by a computing operation for a user. For each of the results returned by the computing operation, a respective first affinity of the user to a corresponding result and a respective second affinity of the user to the corresponding result can be calculated and used for ranking the results. The respective first affinity of the user to the corresponding result can be calculated based on correlations between social activity data of the user and social activity data of a first group of historical users that clicked the corresponding result. Moreover, the respective second affinity of the user to the corresponding result can be calculated based on correlations between the social activity data of the user and social activity data of a second group of historical users that skipped the corresponding results.

摘要翻译： 本文描述的各种技术涉及使用社交活动数据来个性化由用户计算操作返回的结果的排名。 对于通过计算操作返回的每个结果，可以计算用户对相应结果的相应第一亲和度和用户对相应结果的相应第二亲和度，并用于对结果进行排名。 可以基于用户的社交活动数据和点击相应结果的第一组历史用户的社交活动数据之间的相关性来计算用户对相应结果的第一亲和度。 此外，可以基于用户的社交活动数据和跳过相应结果的第二组历史用户的社交活动数据之间的相关性来计算用户对相应结果的相应第二亲和度。

公开(公告)号：US20120158685A1

公开(公告)日：2012-06-21

申请号：US12970875

申请日：2010-12-16

申请人： Ryen W. White ,  Paul Nathan Bennett ,  Susan T. Dumais ,  Peter Richard Bailey ,  Fedor Vladimirovich Borisyuk ,  Xiaoyuan Cui

发明人： Ryen W. White ,  Paul Nathan Bennett ,  Susan T. Dumais ,  Peter Richard Bailey ,  Fedor Vladimirovich Borisyuk ,  Xiaoyuan Cui

IPC分类号： G06F17/30

CPC分类号： G06F16/9535

摘要： The subject disclosure is directed towards building one or more context and query models representative of users' search interests based on their logged interaction behaviors (context) preceding search queries. The models are combined into an intent model by learning an optimal combination (e.g., relative weight) for combining the context model with a query model for a query. The resultant intent model may be used to perform a query-related task, such as to rank or re-rank online search results, predict future interests, select advertisements, and so forth.

摘要翻译： 主题公开旨在基于在搜索查询之前的记录的交互行为（上下文）来构建表示用户搜索兴趣的一个或多个上下文和查询模型。 通过学习用于将上下文模型与用于查询的查询模型组合的最佳组合（例如，相对权重）将模型组合成意图模型。 所得到的意图模型可以用于执行查询相关任务，例如对在线搜索结果进行排名或重新排序，预测未来的兴趣，选择广告等等。

公开(公告)号：US08626768B2

公开(公告)日：2014-01-07

申请号：US12683078

申请日：2010-01-06

申请人： Peter Richard Bailey ,  Daniel Robert Schwartz

发明人： Peter Richard Bailey ,  Daniel Robert Schwartz

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30864 ,  G06F17/30713

摘要： An aggregation service aggregates discussions of events and topics within a given subject area using seed search queries, seed URLs, and/or search engine data. A subject area is selected and a set of seed search queries and/or seed URLs relevant to that subject area are manually generated. The set of seed search queries and/or seed URLs are used to identify URLs containing content relevant to the subject area. The URLs are crawled at given intervals to identify content items, which are analyzed using a classifier to identify content items relevant to the subject area. The content items are grouped into clusters surrounding events and/or topics within the subject area. The various clusters are ranked against one another to facilitate ordering clusters for presentation to end-users.

摘要翻译： 聚合服务使用种子搜索查询，种子URL和/或搜索引擎数据聚合给定主题区域内的事件和主题的讨论。 选择主题区域，并手动生成与该主题区域相关的一组种子搜索查询和/或种子URL。 种子搜索查询和/或种子URL的集合用于标识包含与主题区域相关的内容的URL。 URL以特定的间隔进行爬网，以识别内容项目，这些内容项目使用分类器进行分析，以识别与主题区域相关的内容。 内容项目被分组为围绕主题区域内的事件和/或主题的群集。 各种集群相互排序，以便于订购集群以呈现给最终用户。

公开(公告)号：US20120117059A1

公开(公告)日：2012-05-10

申请号：US12942577

申请日：2010-11-09

申请人： Peter Richard Bailey ,  Chad Carson ,  Scott Joseph Counts ,  Nikhil Bharat Dandekar ,  Ho John Lee ,  Shubha Umesh Nabar ,  Aditya Pal ,  Michael Ching ,  Paul Alexander Dow ,  Shuang Guo ,  Hyun-Ju Seo

发明人： Peter Richard Bailey ,  Chad Carson ,  Scott Joseph Counts ,  Nikhil Bharat Dandekar ,  Ho John Lee ,  Shubha Umesh Nabar ,  Aditya Pal ,  Michael Ching ,  Paul Alexander Dow ,  Shuang Guo ,  Hyun-Ju Seo

IPC分类号： G06F17/30

CPC分类号： G06Q50/01 ,  G06F17/30867

摘要： The author ranking technique described herein is a technique to rank authors in social media systems along various dimensions, using a variety of statistical methods for utilizing those dimensions. More particularly, the technique ranks authors in social media systems through a combination of statistical techniques that leverage usage metrics, and social and topical graph characteristics. In various exemplary embodiments, the technique can rank author authority by the following: 1) temporal analysis of link sharing in which authority is computed based on a user's propensity to provide early links to web pages that subsequently become popular; 2) topical authority based on the author's links and content updates in specific topic areas; and 3) popularity and influence based on nodal properties of authors.

摘要翻译： 本文描述的作者排名技术是使用各种统计方法来利用这些维度来对各社会媒体系统中的作者进行各种维度的技术。 更具体地说，该技术通过结合利用使用度量的统计技术以及社会和局部图形特征来对社交媒体系统中的作者进行排名。 在各种示例性实施例中，该技术可以通过以下方式对作者权限进行排名：1）基于用户提供对随后变得流行的网页的早期链接的倾向来计算权限的链路共享的时间分析; 2）基于作者在特定主题领域的链接和内容更新的专题权威; 和3）基于作者的节点属性的人气和影响。

公开(公告)号：US09324112B2

公开(公告)日：2016-04-26

申请号：US12942577

申请日：2010-11-09

申请人： Peter Richard Bailey ,  Chad Carson ,  Scott Joseph Counts ,  Nikhil Bharat Dandekar ,  Ho John Lee ,  Shubha Umesh Nabar ,  Aditya Pal ,  Michael Ching ,  Paul Alexander Dow ,  Shuang Guo ,  Hyun-Ju Seo

发明人： Peter Richard Bailey ,  Chad Carson ,  Scott Joseph Counts ,  Nikhil Bharat Dandekar ,  Ho John Lee ,  Shubha Umesh Nabar ,  Aditya Pal ,  Michael Ching ,  Paul Alexander Dow ,  Shuang Guo ,  Hyun-Ju Seo

IPC分类号： G06F17/30 ,  G06Q50/00

CPC分类号： G06Q50/01 ,  G06F17/30867

摘要： The author ranking technique described herein is a technique to rank authors in social media systems along various dimensions, using a variety of statistical methods for utilizing those dimensions. More particularly, the technique ranks authors in social media systems through a combination of statistical techniques that leverage usage metrics, and social and topical graph characteristics. In various exemplary embodiments, the technique can rank author authority by the following: 1) temporal analysis of link sharing in which authority is computed based on a user's propensity to provide early links to web pages that subsequently become popular; 2) topical authority based on the author's links and content updates in specific topic areas; and 3) popularity and influence based on nodal properties of authors.

摘要翻译： 本文描述的作者排名技术是使用各种统计方法来利用这些维度来对各社会媒体系统中的作者进行各种维度的技术。 更具体地说，该技术通过结合利用使用度量的统计技术以及社会和局部图形特征来对社交媒体系统中的作者进行排名。 在各种示例性实施例中，该技术可以通过以下方式对作者权限进行排名：1）基于用户提供对随后变得流行的网页的早期链接的倾向来计算权限的链路共享的时间分析; 2）基于作者在特定主题领域的链接和内容更新的专题权威; 和3）基于作者的节点属性的人气和影响。

公开(公告)号：US20130268511A1

公开(公告)日：2013-10-10

申请号：US13441904

申请日：2012-04-08

申请人： Peter Richard Bailey ,  Girish Kumar ,  Ryen William White ,  Nathan Buggia ,  Keith Alan Regier

发明人： Peter Richard Bailey ,  Girish Kumar ,  Ryen William White ,  Nathan Buggia ,  Keith Alan Regier

IPC分类号： G06F17/30

CPC分类号： G06F16/957

摘要： A search engine configured to respond to a search query with a search results page is presented. The search engine includes at least one annotated search result in the search results page. The at least one annotated search results is annotated according to user data independent of the basis by which the search results are identified. The search results page is generated to include user-actionable controls by which a user can update the search results according to update criteria. The update criteria is used in a feedback loop to improve the user data upon which search results are personalized and/or annotated.

摘要翻译： 呈现配置为使用搜索结果页面响应搜索查询的搜索引擎。 搜索引擎在搜索结果页面中至少包括一个带注释的搜索结果。 至少一个注释的搜索结果根据用户数据被注释，独立于识别搜索结果的基础。 生成搜索结果页面以包括用户可操作的控件，用户可以根据更新标准更新搜索结果。 更新标准用于反馈循环，以改善用户数据，搜索结果被个性化和/或注释。

公开(公告)号：US20100312788A1

公开(公告)日：2010-12-09

申请号：US12739924

申请日：2008-10-23

申请人： Peter Richard Bailey

发明人： Peter Richard Bailey

IPC分类号： G06F17/30 ,  G06F17/00

CPC分类号： G06F17/246 ,  G06F16/248 ,  G06F16/332 ,  G06F16/95

摘要： A computer-implemented system (200) for the retrieval and manipulation of information available via an information network (104) includes an information retrieval and processing component (202). The information retrieval and processing component includes search query means (206) for conducting a search of the information network to obtain references to the information relevant to a search query. The information retrieval and processing component (202) further includes information retrieval means (208) for retrieving information available from sources on the information network, and an information store (210), for storage of retrieved information. The information retrieval and processing component (202) also includes processing means for processing of information retrieved from sources on the information network, and of information stored in the information store, to produce corresponding processed information. A user interface (204) has an array of input/output cells, which is adapted to enable a user to provide input into one or more of said cells for directing operations of the information retrieval and processing component, and to display within one or more of the cells information resulting from such operations. The system thus includes a cell-based user interface, and an intermediate storage layer, which permits a knowledge worker or other user, who may be unfamiliar with sophisticated computer programming languages, to develop automated processes for information transfer and manipulation based on present and historical information available via the information network.

摘要翻译： 一种用于检索和操纵经由信息网络（104）可用的信息的计算机实现的系统（200）包括信息检索和处理部件（202）。 信息检索和处理组件包括搜索查询装置（206），用于进行信息网络的搜索以获得对与搜索查询相关的信息的引用。 信息检索和处理组件（202）还包括用于检索从信息网络上的源可用的信息的信息检索装置（208）和用于存储检索到的信息的信息存储（210）。 信息检索和处理组件（202）还包括用于处理从信息网络上的源检索的信息和存储在信息存储器中的信息的处理装置，以产生相应的处理信息。 用户界面（204）具有输入/输出单元的阵列，其适于使得用户能够向所述单元中的一个或多个单元提供用于引导信息检索和处理组件的操作的输入，并且在一个或多个 由这些操作产生的单元格信息。 因此，该系统包括基于小区的用户界面和中间存储层，其允许可能不熟悉复杂计算机编程语言的知识工作者或其他用户开发基于当前和历史的信息传递和操纵的自动化过程 通过信息网络提供的信息。