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1.发明申请公开(公告)号：US20160162792A1
公开(公告)日：2016-06-09
申请号：US15019595
申请日：2016-02-09
发明人： Jie Lu , Jeffrey S. Boston , Anni R. Coden , Jennifer Lai , Shimei Pan , Mercan Topkara , Zhen Wen , Stephen P. Wood
IPC分类号： G06N5/04
摘要： A system includes a user model module that generates a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, a expertise model building module that generates a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, and a processor of a computer that executes instructions for comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.
摘要翻译： 一种系统包括用户模型模块，用于为多个用户的每个用户生成多个专题用户知识模型，每个特定用户知识模型表示相应用户在单个主题上拥有的知识水平，来自 在多个用户之间共享的一组全球定义的主题，一个产生多个专题专家知识模型的专业知识模型构建模块，每个专题专家知识模型表示多个专家用户拥有的知识聚合级别 来自在多个用户之间共享的一组全球定义的主题的单个主题，以及执行用于将第一用户的主题特定用户知识模型与用于相应的主题专用知识模型进行比较的指令的计算机的处理器 主题来确定用户知识水平与主题的聚合专家知识水平之间的距离。
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2.发明授权公开(公告)号：US09275332B2
公开(公告)日：2016-03-01
申请号：US13648988
申请日：2012-10-10
发明人： Jie Lu , Jeffrey Scott Boston , Anni Rosa Coden , Jennifer Ceil Lai , Shimei Pan , Mercan Topkara , Zhen Wen , Stephen Peter Wood
摘要： A method including generating a global topic model based on a set of data that is updated according to an activity of each user of a plurality of users, the global topic model including a topic representation for a topic, generating a plurality of user models, each user model being generated based on the activity of a respective user, generating an expertise model for the topic based on the activity of at least one user of the plurality of users, the expertise model for the topic setting a target level of knowledge for a first user of the plurality of users, comparing a user model of the first user with the expertise model for the topic, the comparing being performed by a processor of a computer system, and recommending an activity associated with the set of data to the first user based on the comparison.
摘要翻译： 一种方法，包括基于根据多个用户的每个用户的活动而更新的数据集，生成全球主题模型，所述全局主题模型包括主题的主题表示，生成多个用户模型，每个 基于相应用户的活动生成用户模型，基于多个用户中的至少一个用户的活动，为该主题生成专业知识模型，该主题的专业知识模型为第一个用户设置知识的目标级别 所述多个用户的用户将所述第一用户的用户模型与所述主题的专业知识模型进行比较，所述比较由计算机系统的处理器执行，并且向所述第一用户推荐与所述数据集相关联的活动 比较。
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公开(公告)号：US20150095250A1
公开(公告)日：2015-04-02
申请号：US14042114
申请日：2013-09-30
发明人： Jennifer Lai , Jie Lu , Shimei Pan , Marcel C. Rosu , Zhen Wen
CPC分类号： G06Q10/105 , G06F16/337
摘要： A method of modeling a user includes performing a role-based classification of tangible interactions involving the user performed via a computer system of an organization, creating a collection of role-specific interactions, creating, from the collection of role-specific interactions, a plurality of role-specific models of the user, wherein the plurality of role-specific models constitute a user model of the user, outputting one or more of the role-specific models to a different user model associated with a different user, and consolidating the output one or more of the role-specific models with a second plurality of role-specific models of the different user model within the different user model.
摘要翻译： 对用户进行建模的方法包括执行涉及通过组织的计算机系统执行的用户的有形交互的基于角色的分类，创建角色特定交互的集合，从角色特定交互的集合中创建多个 其中所述多个角色特定模型构成所述用户的用户模型，将所述角色特定模型中的一个或多个输出到与不同用户相关联的不同用户模型，并且将所述输出 具有不同用户模型内的不同用户模型的第二多个角色特定模型的角色特定模型中的一个或多个。
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4.发明申请公开(公告)号：US20140019119A1
公开(公告)日：2014-01-16
申请号：US13793020
申请日：2013-03-11
发明人： Shixia Liu , Shimei Pan , Wei Hong Qian , Yangqiu Song , Fei Wang , Michelle X. Zhou
IPC分类号： G06F17/21
CPC分类号： G06F17/21 , G06F17/2229
摘要： Visualizing content change of a data collection over time. A topic may be split into multiple linear, non-overlapping sub-topics along a timeline by satisfying a diverse set of semantic, temporal, and visualization constraints simultaneously. For each derived sub-topic, a set of representative keywords may be automatically selected to summarize the main content of the sub-topic.
摘要翻译： 随着时间的推移可视化数据收集的内容变化。 通过同时满足语义，时间和可视化约束的不同集合，主题可以沿着时间轴被分割成多个线性的，不重叠的子主题。 对于每个派生的子主题，可以自动选择一组代表性关键词来总结子主题的主要内容。
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公开(公告)号：US11182684B2
公开(公告)日：2021-11-23
申请号：US15019595
申请日：2016-02-09
发明人： Jie Lu , Jeffrey S. Boston , Anni R. Coden , Jennifer Lai , Shimei Pan , Mercan Topkara , Zhen Wen , Stephen P. Wood
摘要： A system includes a user model module that generates a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, a expertise model building module that generates a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, and a processor of a computer that executes instructions for comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.
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公开(公告)号：US20160180082A1
公开(公告)日：2016-06-23
申请号：US15042651
申请日：2016-02-12
发明人： Anni R. Coden , Keith C. Houck , Ching-Yung Lin , Wanyi Lin , Peter K. Malkin , Shimei Pan , Youngja Park , Justin Weisz
IPC分类号： G06F21/55
CPC分类号： G06F21/55 , G06F21/32 , G06N5/04 , G06N5/048 , G06N7/005 , G06N7/04 , G06N20/00 , H04L63/102 , H04L63/1433
摘要： Detecting propensity profile for a person may comprise receiving artifacts associated with the person; detecting profile characteristics for the person based on the artifacts; receiving a plurality of predefined profiles comprising a plurality of characteristics and relationships between the characteristics over time, each of the plurality of predefined profiles specifying an indication of propensity; matching the profile characteristics for the person with one or more of the plurality of predefined profiles; and outputting one or more propensity indicators based on the matching, the propensity indicators comprising at least an expressed strength of a given propensity in the person at a given time.
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7.发明申请公开(公告)号：US20140101085A1
公开(公告)日：2014-04-10
申请号：US13648988
申请日：2012-10-10
发明人： Jie Lu , Jeffrey Scott Boston , Anni Rosa Coden , Jennifer Ceil Lai , Shimei Pan , Mercan Topkara , Zhen Wen , Stephen Peter Wood
摘要： A method including generating a global topic model based on a set of data that is updated according to an activity of each user of a plurality of users, the global topic model including a topic representation for a topic, generating a plurality of user models, each user model being generated based on the activity of a respective user, generating an expertise model for the topic based on the activity of at least one user of the plurality of users, the expertise model for the topic setting a target level of knowledge for a first user of the plurality of users, comparing a user model of the first user with the expertise model for the topic, the comparing being performed by a processor of a computer system, and recommending an activity associated with the set of data to the first user based on the comparison.
摘要翻译： 一种方法，包括基于根据多个用户的每个用户的活动而更新的数据集，生成全球主题模型，所述全局主题模型包括主题的主题表示，生成多个用户模型，每个 基于相应用户的活动生成用户模型，基于多个用户中的至少一个用户的活动，为该主题生成专业知识模型，该主题的专业知识模型为第一个用户设置知识的目标级别 所述多个用户的用户将所述第一用户的用户模型与所述主题的专业知识模型进行比较，所述比较由计算机系统的处理器执行，并且向所述第一用户推荐与所述数据集相关联的活动 比较。
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公开(公告)号：US09311467B2
公开(公告)日：2016-04-12
申请号：US13971402
申请日：2013-08-20
发明人： Anni R. Coden , Keith C. Houck , Ching-Yung Lin , Wanyi Lin , Peter K. Malkin , Shimei Pan , Youngja Park , Justin D. Weisz
IPC分类号： G06F9/44 , G06N7/02 , G06N7/08 , G06F21/32 , G06N99/00 , G06N7/04 , G06N7/00 , G06N5/04 , H04L29/06
CPC分类号： G06F21/55 , G06F21/32 , G06N5/04 , G06N5/048 , G06N7/005 , G06N7/04 , G06N99/005 , H04L63/102 , H04L63/1433
摘要： Detecting propensity profile for a person may comprise receiving artifacts associated with the person; detecting profile characteristics for the person based on the artifacts; receiving a plurality of predefined profiles comprising a plurality of characteristics and relationships between the characteristics over time, each of the plurality of predefined profiles specifying an indication of propensity; matching the profile characteristics for the person with one or more of the plurality of predefined profiles; and outputting one or more propensity indicators based on the matching, the propensity indicators comprising at least an expressed strength of a given propensity in the person at a given time.
摘要翻译： 检测个人的倾向概况可以包括接收与该人相关联的人造物; 基于人造物检测人物的轮廓特征; 接收包括多个特征的多个预定义配置文件以及所述特性随时间的关系，所述多个预定义配置文件中的每一个规定了倾向性的指示; 使用所述多个预定义简档中的一个或多个的所述人物的轮廓特征进行匹配; 以及基于所述匹配来输出一个或多个倾向指标，所述倾向指标至少包括在给定时间所述人的给定倾向的表达强度。
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公开(公告)号：US20150058273A1
公开(公告)日：2015-02-26
申请号：US13971402
申请日：2013-08-20
发明人： Anni R. Coden , Keith C. Houck , Ching-Yung Lin , Wanyi Lin , Peter K. Malkin , Shimei Pan , Youngja Park , Justin D. Weisz
IPC分类号： G06N5/04
CPC分类号： G06F21/55 , G06F21/32 , G06N5/04 , G06N5/048 , G06N7/005 , G06N7/04 , G06N99/005 , H04L63/102 , H04L63/1433
摘要： Detecting propensity profile for a person may comprise receiving artifacts associated with the person; detecting profile characteristics for the person based on the artifacts; receiving a plurality of predefined profiles comprising a plurality of characteristics and relationships between the characteristics over time, each of the plurality of predefined profiles specifying an indication of propensity; matching the profile characteristics for the person with one or more of the plurality of predefined profiles; and outputting one or more propensity indicators based on the matching, the propensity indicators comprising at least an expressed strength of a given propensity in the person at a given time.
摘要翻译： 检测个人的倾向概况可以包括接收与该人相关联的人造物; 基于人造物检测人物的轮廓特征; 接收包括多个特征的多个预定义配置文件以及所述特性随时间的关系，所述多个预定义配置文件中的每一个规定了倾向性的指示; 使用所述多个预定义简档中的一个或多个的所述人物的轮廓特征进行匹配; 以及基于所述匹配来输出一个或多个倾向指标，所述倾向指标至少包括在给定时间所述人的给定倾向的表达强度。
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公开(公告)号：US11182683B2
公开(公告)日：2021-11-23
申请号：US15019464
申请日：2016-02-09
发明人： Jie Lu , Jeffrey S. Boston , Anni R. Coden , Jennifer Lai , Shimei Pan , Mercan Topkara , Zhen Wen , Stephen P. Wood
摘要： A method includes generating, as executed by a processor on a computer, a plurality of topic-specific user knowledge models for each user of a plurality of users, each topic-specific user knowledge model representing a level of knowledge possessed by a respective user on a single topic from a set of globally defined topics shared among the plurality of users, generating a plurality of topic-specific expert knowledge models, each topic-specific expert knowledge model representing an aggregate level of knowledge possessed by a plurality of expert users on a single topic from a set of globally defined topics shared among the plurality of users, comparing the topic-specific user knowledge model of the first user with the topic-specific expert knowledge model for a respective topic to determine a distance between a user knowledge level and an aggregate expert knowledge level for the topic.
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