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1.发明申请公开(公告)号：US20120185472A1
公开(公告)日：2012-07-19
申请号：US13005614
申请日：2011-01-13
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： A computer-implemented method, system and computer program product providing ordered search results within a search engine. Items are retrieved from a network satisfying search criteria provided by a user. Computer-related activities performed by the user, including social networking activities, are determined, and the retrieved items are ranked based on the computer-related activities. The ranking of the retrieved items is dependent upon whether any retrieved item has been referenced by the social networking activities of the user, and the search results are provided including the retrieved items in order of the ranking.
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2.发明授权公开(公告)号：US08688691B2
公开(公告)日：2014-04-01
申请号：US13005614
申请日：2011-01-13
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： A computer-implemented method, system and computer program product providing ordered search results within a search engine. Items are retrieved from a network satisfying search criteria provided by a user. Computer-related activities performed by the user, including social networking activities, are determined, and the retrieved items are ranked based on the computer-related activities. The ranking of the retrieved items is dependent upon whether any retrieved item has been referenced by the social networking activities of the user, and the search results are provided including the retrieved items in order of the ranking.
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3.发明申请Relevancy Ranking of Search Results in a Network Based Upon a User's Computer-Related Activities 有权基于用户计算机相关活动的网络搜索结果的相关性排名公开(公告)号：US20120284249A1
公开(公告)日：2012-11-08
申请号：US13550657
申请日：2012-07-17
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： A computer-implemented method, system and computer program product providing ordered search results within a search engine. Items are retrieved from a network satisfying search criteria provided by a user. Computer-related activities performed by the user, including social networking activities, are determined, and the retrieved items are ranked based on the computer-related activities. The ranking of the retrieved items is dependent upon whether any retrieved item has been referenced by the social networking activities of the user, and the search results are provided including the retrieved items in order of the ranking.
摘要翻译： 一种计算机实现的方法，系统和计算机程序产品，在搜索引擎中提供排序的搜索结果。 从满足用户提供的搜索条件的网络检索项目。 确定用户执行的计算机相关活动，包括社交网络活动，并根据计算机相关活动对被检索项目进行排名。 检索项目的排名取决于用户的社交网络活动是否引用了任何检索到的项目，并且按排序顺序提供包括检索项目的搜索结果。
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4.发明授权Relevancy ranking of search results in a network based upon a user's computer-related activities 有权基于用户计算机相关活动的网络中搜索结果的相关性排名公开(公告)号：US08738613B2
公开(公告)日：2014-05-27
申请号：US13550657
申请日：2012-07-17
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： A computer-implemented method, system and computer program product providing ordered search results within a search engine. Items are retrieved from a network satisfying search criteria provided by a user. Computer-related activities performed by the user, including social networking activities, are determined, and the retrieved items are ranked based on the computer-related activities. The ranking of the retrieved items is dependent upon whether any retrieved item has been referenced by the social networking activities of the user, and the search results are provided including the retrieved items in order of the ranking.
摘要翻译： 一种计算机实现的方法，系统和计算机程序产品，在搜索引擎中提供排序的搜索结果。 从满足用户提供的搜索条件的网络检索项目。 确定用户执行的计算机相关活动，包括社交网络活动，并根据计算机相关活动对被检索项目进行排名。 检索项目的排名取决于用户的社交网络活动是否引用了任何检索到的项目，并且按排序顺序提供包括检索项目的搜索结果。
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公开(公告)号：US09697528B2
公开(公告)日：2017-07-04
申请号：US13532060
申请日：2012-06-25
CPC分类号： G06Q30/0201 , G06F11/3006 , H04L67/146 , H04L67/22
摘要： Mechanisms are provided for tracking link sharing in a messaging environment of a data processing system. Message information is received that identifies a plurality of links to content included in one or more messages exchanged via the data processing system. A relationship measure is determined based on the message information. The relationship measure measures a likelihood that a first link is related to a second link in the plurality of links and points to a same source of content. An association data structure associating the first link with the second link is generated based on the relationship measure. User interactions with the first link and the second link are tracked based on the generated association data structure.
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公开(公告)号：US20130346841A1
公开(公告)日：2013-12-26
申请号：US13532060
申请日：2012-06-25
IPC分类号： G06F17/00
CPC分类号： G06Q30/0201 , G06F11/3006 , H04L67/146 , H04L67/22
摘要： Mechanisms are provided for tracking link sharing in a messaging environment of a data processing system. Message information is received that identifies a plurality of links to content included in one or more messages exchanged via the data processing system. A relationship measure is determined based on the message information. The relationship measure measures a likelihood that a first link is related to a second link in the plurality of links and points to a same source of content. An association data structure associating the first link with the second link is generated based on the relationship measure. User interactions with the first link and the second link are tracked based on the generated association data structure.
摘要翻译： 提供了用于在数据处理系统的消息环境中跟踪链路共享的机制。 接收消息信息，其识别包括在经由数据处理系统交换的一个或多个消息中的内容的多个链接。 基于消息信息确定关系度量。 关系度量测量第一链接与多个链接中的第二链接相关并且指向相同的内容源的可能性。 基于关系度量生成将第一链接与第二链接相关联的关联数据结构。 基于生成的关联数据结构跟踪与第一链路和第二链路的用户交互。
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公开(公告)号：US08495484B2
公开(公告)日：2013-07-23
申请号：US13196600
申请日：2011-08-02
CPC分类号： G06F17/30867
摘要： Computer apparatus, system and method maintain a database of hyperlinks associated with activities and inactions in the past of a user. From a current work space of the user, a recommendation engine searches the database to retrieve hyperlinks based on user-specified context and topic. The recommendation engine displays recommended hyperlinks (candidates) and enables the user to filter the recommended hyperlinks by original source, activity metric or other relevance. To form and maintain the database, a context analysis engine captures activity content links. Each activity content link has a respective hyperlink associated with an activity/inaction of the user. The context analysis engine generates a metric based on the activity and records the respective hyperlink in the database along with the metric. The recommendation engine and context analysis engine may, on user command, further search social media or social networks in order to make hyperlink recommendations to the user.
摘要翻译： 计算机设备，系统和方法维护与用户过去的活动和不作为相关联的超链接的数据库。 从用户的当前工作空间，推荐引擎搜索数据库以基于用户指定的上下文和主题来检索超链接。 推荐引擎显示推荐的超链接（候选），并使用户能够按原始来源，活动指标或其他相关性过滤推荐的超链接。 为了形成和维护数据库，上下文分析引擎捕获活动内容链接。 每个活动内容链接具有与用户的活动/不作为相关联的相应超链接。 上下文分析引擎基于活动生成度量，并记录数据库中的相应超链接以及度量。 推荐引擎和上下文分析引擎可以根据用户命令进一步搜索社交媒体或社交网络，以便向用户提供超链接建议。
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公开(公告)号：US20130036344A1
公开(公告)日：2013-02-07
申请号：US13196600
申请日：2011-08-02
IPC分类号： G06F17/00
CPC分类号： G06F17/30867
摘要： Computer apparatus, system and method maintain a database of hyperlinks associated with activities and inactions in the past of a user. From a current work space of the user, a recommendation engine searches the database to retrieve hyperlinks based on user-specified context and topic. The recommendation engine displays recommended hyperlinks (candidates) and enables the user to filter the recommended hyperlinks by original source, activity metric or other relevance. To form and maintain the database, a context analysis engine captures activity content links. Each activity content link has a respective hyperlink associated with an activity/inaction of the user. The context analysis engine generates a metric based on the activity and records the respective hyperlink in the database along with the metric. The recommendation engine and context analysis engine may, on user command, further search social media or social networks in order to make hyperlink recommendations to the user.
摘要翻译： 计算机设备，系统和方法维护与用户过去的活动和不作为相关联的超链接的数据库。 从用户的当前工作空间，推荐引擎搜索数据库以基于用户指定的上下文和主题来检索超链接。 推荐引擎显示推荐的超链接（候选），并使用户能够按原始来源，活动指标或其他相关性过滤推荐的超链接。 为了形成和维护数据库，上下文分析引擎捕获活动内容链接。 每个活动内容链接具有与用户的活动/不作为相关联的相应超链接。 上下文分析引擎基于活动生成度量，并记录数据库中的相应超链接以及度量。 推荐引擎和上下文分析引擎可以根据用户命令进一步搜索社交媒体或社交网络，以便向用户提供超链接建议。
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