公开(公告)号：US09009147B2

公开(公告)日：2015-04-14

申请号：US13213856

申请日：2011-08-19

Applicant: Jingrui He ,  Ravi B. Konuru ,  Ching-Yung Lin ,  Hanghang Tong ,  Zhen Wen

Inventor： Jingrui He ,  Ravi B. Konuru ,  Ching-Yung Lin ,  Hanghang Tong ,  Zhen Wen

IPC: G06F17/30 ,  G06F7/00

CPC classification number: G06F17/3053 ,  G06F17/30592 ,  G06F17/30958 ,  G06F2216/03

Abstract: A method, system and computer program product for finding a diversified ranking list for a given query. In one embodiment, a multitude of date items responsive to the query are identified, a marginal score is established for each data item; and a set, or ranking list, of the data items is formed based on these scores. This ranking list is formed by forming an initial set, and one or more data items are added to the ranking list based on the marginal scores of the data items. In one embodiment, each of the data items has a measured relevance and a measured diversity value, and the marginal scores for the data items are based on the measured relevance and the measured diversity values of the data items.

Abstract translation: 一种用于查找给定查询的多样化排名列表的方法，系统和计算机程序产品。 在一个实施例中，识别响应于查询的多个日期项目，为每个数据项目建立边际分数; 并且基于这些分数形成数据项的集合或排名列表。 该排序列表通过形成初始集合而形成，并且基于数据项目的边际分数将一个或多个数据项目添加到排名列表。 在一个实施例中，每个数据项具有测量的相关性和测量的分集值，并且数据项的边际分数基于所测量的相关性和所测量的数据项的分集值。

公开(公告)号：US20120209871A1

公开(公告)日：2012-08-16

申请号：US13024467

申请日：2011-02-10

Applicant: Jennifer Lai ,  Jie Lu ,  Shimei Pan ,  Zhen Wen

Inventor： Jennifer Lai ,  Jie Lu ,  Shimei Pan ,  Zhen Wen

IPC: G06F17/30

CPC classification number: G06F17/30997 ,  H04L51/02

Abstract: Automated contextual information retrieval techniques are provided based on multi-tiered user modeling and a dynamic retrieval strategy. Content relevant to a current message is presented by initially obtaining a multi-tiered user model containing a multi-tiered representation of interactions of a first user with each contact, wherein the multi-tiered representation includes a plurality of topic models each corresponding to interactions between the first user and one contact. The topic models contain a set of topics, each containing topic keywords. Context information is extracted based on content of the current message, a sender and/or a recipient of the current message, and the multi-tiered user model. A retrieval strategy is determined based on the extracted context information. Contextual queries are generated to search the information repositories selected based on the determined retrieval strategy. Content relevant to the current message is presented based on search results from the selected information repositories.

Abstract translation: 基于多层次用户建模和动态检索策略提供了自动上下文信息检索技术。 通过最初获得包含第一用户与每个联系人的交互的多层次表示的多层次用户模型来呈现与当前消息相关的内容，其中所述多层表示包括多个主题模型，每个主题模型对应于 第一个用户和一个联系人。 主题模型包含一组主题，每个主题包含主题关键字。 基于当前消息的内容，当前消息的发送者和/或接收者以及多层次用户模型来提取上下文信息。 基于提取的上下文信息确定检索策略。 生成上下文查询以搜索基于确定的检索策略选择的信息库。 基于所选信息存储库的搜索结果显示与当前消息相关的内容。

公开(公告)号：US07849138B2

公开(公告)日：2010-12-07

申请号：US12038386

申请日：2008-02-27

Applicant: Xiaohui Gu ,  Zon-Yin Shae ,  Zhen Wen ,  Philip S. Yu

Inventor： Xiaohui Gu ,  Zon-Yin Shae ,  Zhen Wen ,  Philip S. Yu

IPC: G06F15/16 ,  H04L12/16

CPC classification number: H04L12/1818 ,  H04L45/16 ,  H04L45/48

Abstract: A system and computer program product for establishing multi-party VoIP conference audio calls in a distributed, peer-to-peer network where any number of nodes are able to arbitrarily and asynchronously start or stop producing audio output to be mixed into a single composite audio stream that is distributed to all nodes. A single distribution tree is used that has optimal communications characteristics to distribute the composite audio signal to all nodes. An audio mixing tree is established and maintained by adaptively and dynamically adding and merging intermediate mixing nodes operating between user nodes and the root of the single distribution tree. The intermediate mixing nodes and the root of the single distribution tree are all hosted, in an exemplary embodiment, on user nodes that are endpoints of the distribution tree.

Abstract translation: 一种用于在分布式对等网络中建立多方VoIP会议音频呼叫的系统和计算机程序产品，其中任何数量的节点能够任意地和异步地开始或停止产生要混合到单个复合音频中的音频输出 分发给所有节点的流。 使用具有最佳通信特性以将复合音频信号分配给所有节点的单个分发树。 通过自适应地动态地添加和合并在用户节点和单个分发树的根之间运行的中间混合节点来建立和维护音频混合树。 在示例性实施例中，分发树的中间混合节点和根分别在作为分发树的端点的用户节点上托管。

公开(公告)号：US20080177833A1

公开(公告)日：2008-07-24

申请号：US12038386

申请日：2008-02-27

Applicant: XIAOHUI GU ,  Zon-Yin Shae ,  Zhen Wen ,  Philip S. Yu

Inventor： XIAOHUI GU ,  Zon-Yin Shae ,  Zhen Wen ,  Philip S. Yu

IPC: G06F15/16

CPC classification number: H04L12/1818 ,  H04L45/16 ,  H04L45/48

Abstract: A system and computer program product for establishing multi-party VoIP conference audio calls in a distributed, peer-to-peer network where any number of nodes are able to arbitrarily and asynchronously start or stop producing audio output to be mixed into a single composite audio stream that is distributed to all nodes. A single distribution tree is used that has optimal communications characteristics to distribute the composite audio signal to all nodes. An audio mixing tree is established and maintained by adaptively and dynamically adding and merging intermediate mixing nodes operating between user nodes and the root of the single distribution tree. The intermediate mixing nodes and the root of the single distribution tree are all hosted, in an exemplary embodiment, on user nodes that are endpoints of the distribution tree.

Abstract translation: 一种用于在分布式对等网络中建立多方VoIP会议音频呼叫的系统和计算机程序产品，其中任何数量的节点能够任意地和异步地开始或停止产生要混合到单个复合音频中的音频输出 分发给所有节点的流。 使用具有最佳通信特性以将复合音频信号分配给所有节点的单个分发树。 通过自适应地动态地添加和合并在用户节点和单个分发树的根之间运行的中间混合节点来建立和维护音频混合树。 在示例性实施例中，分发树的中间混合节点和根分别在作为分发树的端点的用户节点上托管。

公开(公告)号：US20070299862A1

公开(公告)日：2007-12-27

申请号：US11475773

申请日：2006-06-27

Applicant: Vikram Aggarwal ,  Zhen Wen ,  Michelle X. Zhou

Inventor： Vikram Aggarwal ,  Zhen Wen ,  Michelle X. Zhou

IPC: G06F17/00 ,  G06F7/00

CPC classification number: G06F17/30017 ,  Y10S707/99935 ,  Y10S707/99943

Abstract: Improved information analysis techniques are disclosed. For example, a computer-implemented method of automatically assisting an analyst in a current information analysis task includes the following steps. An analytic context is modeled in a user-system cooperative manner, wherein the analytic context is a structure representative of user analytic actions and relationships associated therewith. At least a portion of the user-system cooperatively-modeled analytic context structure is utilized to adaptively gather information relevant to a current information analysis task.

Abstract translation: 披露了改进的信息分析技术。 例如，在当前信息分析任务中自动协助分析者的计算机实现的方法包括以下步骤。 分析上下文以用户 - 系统协作的方式建模，其中分析上下文是代表用户分析动作和与之相关联的关系的结构。 利用用户系统协同建模的分析上下文结构的至少一部分来自适应地收集与当前信息分析任务相关的信息。

公开(公告)号：US20130046768A1

公开(公告)日：2013-02-21

申请号：US13213856

申请日：2011-08-19

Applicant: Jingrui He ,  Ravi B. Konuru ,  Ching-Yung Lin ,  Hanghang Tong ,  Zhen Wen

Inventor： Jingrui He ,  Ravi B. Konuru ,  Ching-Yung Lin ,  Hanghang Tong ,  Zhen Wen

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30592 ,  G06F17/30958 ,  G06F2216/03

Abstract: A method, system and computer program product for finding a diversified ranking list for a given query. In one embodiment, a multitude of date items responsive to the query are identified, a marginal score is established for each data item; and a set, or ranking list, of the data items is formed based on these scores. This ranking list is formed by forming an initial set, and one or more data items are added to the ranking list based on the marginal scores of the data items. In one embodiment, each of the data items has a measured relevance and a measured diversity value, and the marginal scores for the data items are based on the measured relevance and the measured diversity values of the data items.

Abstract translation: 一种用于查找给定查询的多样化排名列表的方法，系统和计算机程序产品。 在一个实施例中，识别响应于查询的多个日期项目，为每个数据项目建立边际分数; 并且基于这些分数形成数据项的集合或排名列表。 该排序列表通过形成初始集合而形成，并且基于数据项目的边际分数将一个或多个数据项目添加到排名列表。 在一个实施例中，每个数据项具有测量的相关性和测量的分集值，并且数据项的边际分数基于所测量的相关性和所测量的数据项的分集值。

公开(公告)号：US08001119B2

公开(公告)日：2011-08-16

申请号：US12125413

申请日：2008-05-22

Applicant: Vikram Aggarwal ,  Zhen Wen ,  Michelle X. Zhou

Inventor： Vikram Aggarwal ,  Zhen Wen ,  Michelle X. Zhou

IPC: G06F7/00

CPC classification number: G06F17/30017 ,  Y10S707/99935 ,  Y10S707/99943

Abstract: Improved information analysis techniques are disclosed. For example, a computer-implemented method of automatically assisting an analyst in a current information analysis task includes the following steps. An analytic context is modeled in a user-system cooperative manner, wherein the analytic context is a structure representative of user analytic actions and relationships associated therewith. At least a portion of the user-system cooperatively-modeled analytic context structure is utilized to adaptively gather information relevant to a current information analysis task.

Abstract translation: 披露了改进的信息分析技术。 例如，在当前信息分析任务中自动协助分析者的计算机实现的方法包括以下步骤。 分析上下文以用户 - 系统协作的方式建模，其中分析上下文是代表用户分析动作和与之相关联的关系的结构。 利用用户系统协同建模的分析上下文结构的至少一部分来自适应地收集与当前信息分析任务相关的信息。

公开(公告)号：US20080221846A1

公开(公告)日：2008-09-11

申请号：US12125413

申请日：2008-05-22

Applicant: Vikram Aggarwal ,  Zhen Wen ,  Michelle X. Zhou

Inventor： Vikram Aggarwal ,  Zhen Wen ,  Michelle X. Zhou

IPC: G06F17/10

CPC classification number: G06F17/30017 ,  Y10S707/99935 ,  Y10S707/99943

Abstract: Improved information analysis techniques are disclosed. For example, a computer-implemented method of automatically assisting an analyst in a current information analysis task includes the following steps. An analytic context is modeled in a user-system cooperative manner, wherein the analytic context is a structure representative of user analytic actions and relationships associated therewith. At least a portion of the user-system cooperatively-modeled analytic context structure is utilized to adaptively gather information relevant to a current information analysis task.

Abstract translation: 披露了改进的信息分析技术。 例如，在当前信息分析任务中自动协助分析者的计算机实现的方法包括以下步骤。 分析上下文以用户 - 系统协作的方式建模，其中分析上下文是代表用户分析动作和与之相关联的关系的结构。 利用用户系统协同建模的分析上下文结构的至少一部分来自适应地收集与当前信息分析任务相关的信息。

公开(公告)号：US08996984B2

公开(公告)日：2015-03-31

申请号：US12769952

申请日：2010-04-29

Applicant: Peter Kissa ,  Zhen Wen ,  Qiang Zhang

Inventor： Peter Kissa ,  Zhen Wen ,  Qiang Zhang

IPC: G06F3/048 ,  G06Q10/10

CPC classification number: G06Q10/10

Abstract: Methods and systems are provided for automatic visual preview of non-visual data. A visual preview of non-visual data is generated by obtaining the non-visual data; obtaining metadata describing one or more semantic data types in the obtained non-visual data; selecting one or more visual metaphors for the obtained non-visual data based on the metadata; and generating the visual preview of the non-visual data using the one or more selected visual metaphors. As used herein, non-visual data does not have an established automatic method for generating a preview of the non-visual data. A user can optionally interact with the visual preview.

Abstract translation: 提供了用于自动视觉预览非视觉数据的方法和系统。 通过获取非视觉数据生成非视觉数据的视觉预览; 获取描述所获得的非视觉数据中的一种或多种语义数据类型的元数据; 基于所述元数据为所获得的非可视数据选择一个或多个视觉隐喻; 以及使用所述一个或多个所选视觉隐喻生成所述非视觉数据的视觉预览。 如本文所使用的，非可视数据没有用于生成非可视数据的预览的已建立的自动方法。 用户可以选择与视觉预览进行交互。

公开(公告)号：US20130339276A1

公开(公告)日：2013-12-19

申请号：US13528598

申请日：2012-06-20

Applicant: Jennifer C. Lai ,  Jie Lu ,  Shimei Pan ,  Zhen Wen

Inventor： Jennifer C. Lai ,  Jie Lu ,  Shimei Pan ,  Zhen Wen

IPC: G06F15/18

CPC classification number: G06Q10/107

Abstract: A method of automating incoming message prioritization. The method including training a global classifier of a computer system using training data. Dynamically training a user-specific classifier of the computer system based on a plurality of feedback instances. Inferring a topic of the incoming message received by the computer system based on a topic-based user model. Computing a plurality of contextual features of the incoming message. Determining a priority classification strategy for assigning a priority level to the incoming message based on the computed contextual features of the incoming message and a weighted combination of the global classifier and the user specific classifier. Classifying the incoming message based on the priority classification strategy.

Abstract translation: 一种自动传入消息优先级的方法。 该方法包括使用训练数据训练计算机系统的全局分类器。 基于多个反馈实例动态训练计算机系统的用户专用分类器。 基于基于主题的用户模型推断计算机系统接收到的传入消息的主题。 计算传入消息的多个上下文特征。 确定用于基于输入消息的计算的上下文特征以及全局分类器和用户特定分类器的加权组合来为入局消息分配优先级的优先级分类策略。 根据优先级分类策略对传入的消息进行分类。