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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：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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4.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：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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公开(公告)号：US09342625B2
公开(公告)日：2016-05-17
申请号：US14628928
申请日：2015-02-23
IPC分类号： G06T15/00 , G06T11/20 , G06T19/00 , G06T17/20 , G06T15/40 , G06F17/30 , G06Q10/10 , G06Q10/06 , G06Q10/00
CPC分类号： G06F17/30958 , G06F17/30713 , G06F17/30722 , G06Q10/00 , G06Q10/06 , G06Q10/10 , G06Q10/101 , G06Q10/103 , G06T11/203 , G06T11/206 , G06T15/40 , G06T15/405 , G06T17/20 , G06T19/00
摘要： Provenance techniques are disclosed for managing a history of a meeting. For example, a method for managing a history associated with a meeting comprises the following steps. Data associated with the meeting is collected. Provenance data is generated based on at least a portion of the collected data, wherein the provenance data is indicative of a lineage of one or more data items. A provenance graph is generated that defines a visual representation of the generated provenance data, wherein graph elements comprise one or more nodes and one or more edges between nodes, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. One or more applications are associated with at least one graph element and are selectable to invoke functionality. The generated provenance graph is stored in a repository for use in analyzing the meeting.
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7.发明申请公开(公告)号：US20160155057A1
公开(公告)日：2016-06-02
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
IPC分类号： G06N5/04
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.
摘要翻译： 一种方法包括如计算机上的处理器所执行的那样，为多个用户的每个用户生成多个专题用户知识模型，每个专题用户知识模型表示相应用户拥有的知识水平 来自在多个用户之间共享的一组全球定义的主题的单个主题，生成多个专题专家知识模型，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 从多个用户中共享的一组全球定义的主题中的单个主题，将第一用户的主题特定用户知识模型与相应主题的主题专用知识模型进行比较，以确定用户知识水平与 该专题的综合专家知识水平。
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8.发明授权公开(公告)号：US09292791B2
公开(公告)日：2016-03-22
申请号：US13659716
申请日：2012-10-24
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 system including a global topic model building module that builds 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, a user model building module that builds a plurality of user models, each user model being built based on an activity of a respective user, an expertise model building module that builds 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, a processor to compare a user model of the first user with the expertise model for the topic; and an expertise assessment and learning recommendation module that recommends an activity associated with the set of data to the first user based on the comparison.
摘要翻译： 一种包括全球主题模型构建模块的系统，其基于根据多个用户的每个用户的活动而更新的一组数据构建全球主题模型，构建多个用户模型的用户模型构建模块， 基于相应用户的活动构建每个用户模型，专门知识模型构建模块，其基于多个用户中的至少一个用户的活动来构建该主题的专业知识模型，该主题的专业知识模型设置为 用于多个用户的第一用户的目标知识水平;处理器，用于将第一用户的用户模型与该主题的专业知识模型进行比较; 以及专家评估和学习推荐模块，其基于比较来向第一用户推荐与该组数据相关联的活动。
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公开(公告)号：US20150169788A1
公开(公告)日：2015-06-18
申请号：US14628928
申请日：2015-02-23
CPC分类号： G06F17/30958 , G06F17/30713 , G06F17/30722 , G06Q10/00 , G06Q10/06 , G06Q10/10 , G06Q10/101 , G06Q10/103 , G06T11/203 , G06T11/206 , G06T15/40 , G06T15/405 , G06T17/20 , G06T19/00
摘要： Provenance techniques are disclosed for managing a history of a meeting. For example, a method for managing a history associated with a meeting comprises the following steps. Data associated with the meeting is collected. Provenance data is generated based on at least a portion of the collected data, wherein the provenance data is indicative of a lineage of one or more data items. A provenance graph is generated that defines a visual representation of the generated provenance data, wherein graph elements comprise one or more nodes and one or more edges between nodes, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. One or more applications are associated with at least one graph element and are selectable to invoke functionality. The generated provenance graph is stored in a repository for use in analyzing the meeting.
摘要翻译： 披露出席会议技巧来管理会议历史。 例如，用于管理与会议相关联的历史的方法包括以下步骤。 收集与会议相关的数据。 基于收集的数据的至少一部分生成出库数据，其中原始数据指示一个或多个数据项的谱系。 生成源头图，其定义生成的来源数据的可视表示，其中图元素包括一个或多个节点和节点之间的一个或多个边缘，其中图形的节点表示与所收集的数据相关联的记录，并且图形的边缘表示 记录之间的关系。 一个或多个应用与至少一个图形元素相关联并且可选择以调用功能。 生成的来源图存储在存储库中，用于分析会议。
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10.发明申请公开(公告)号：US20140101086A1
公开(公告)日：2014-04-10
申请号：US13659716
申请日：2012-10-24
发明人： Jie Lu , Jeffrey Scott Boston , Anni Rosa Coden , Jennifer cell Lai , Shimei Pan , Mercan Topkara , Zhen Wen , Stephen Peter Wood
IPC分类号： G06N5/02
摘要： A system including a global topic model building module that builds 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, a user model building module that builds a plurality of user models, each user model being built based on an activity of a respective user, an expertise model building module that builds 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, a processor to compare a user model of the first user with the expertise model for the topic; and an expertise assessment and learning recommendation module that recommends an activity associated with the set of data to the first user based on the comparison.
摘要翻译： 一种包括全球主题模型构建模块的系统，其基于根据多个用户的每个用户的活动而更新的一组数据构建全球主题模型，构建多个用户模型的用户模型构建模块， 基于相应用户的活动构建每个用户模型，专门知识模型构建模块，其基于多个用户中的至少一个用户的活动来构建该主题的专业知识模型，该主题的专业知识模型设置为 用于多个用户的第一用户的目标知识水平;处理器，用于将第一用户的用户模型与该主题的专业知识模型进行比较; 以及专家评估和学习推荐模块，其基于比较来向第一用户推荐与该组数据相关联的活动。
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