公开(公告)号：US10853820B2

公开(公告)日：2020-12-01

申请号：US13836233

申请日：2013-03-15

Applicant: Xerox Corporation

Inventor： Lei Li ,  Wei Peng ,  Saurabh Kataria ,  Tong Sun

IPC: G06Q50/00 ,  G06Q30/00

Abstract: A method, non-transitory computer readable medium, and apparatus for recommending a topic-cohesive and interactive implicit community are disclosed. For example, the method receives a request for customer care, selects an implicit community identified from a plurality of individual users of a social media website based upon a relevance score related to a topic of the request for customer care and recommends the implicit community in response to the request for customer care.

公开(公告)号：US20180150743A1

公开(公告)日：2018-05-31

申请号：US15370305

申请日：2016-12-06

Applicant: Xerox Corporation

Inventor： Fenglong Ma ,  Radha Chitta ,  Jing Zhou ,  Palghat S. Ramesh ,  Tong Sun ,  Saurabh Singh Kataria

IPC: G06N3/08 ,  G06N3/04

CPC classification number: G06N3/084 ,  G06N3/0445 ,  G06N3/063

Abstract: A long-term memory network method and system for text comprehension. A recurrent neural network can be provided, which includes an external memory module and a long-short term memory unit, wherein said recurrent neural network encodes raw text information into vector representations, forms memories, finds relevant sentences to answer questions, and generates multi-word answers to said questions utilizing the long short term memory unit.

公开(公告)号：US09420106B1

公开(公告)日：2016-08-16

申请号：US14639143

申请日：2015-03-05

Applicant: XEROX CORPORATION

Inventor： Veerasundaravel Thirugnanasundaram ,  Tong Sun ,  Arun Bakthavachalu

IPC: H04M3/00 ,  H04M5/00 ,  H04M3/523 ,  G06Q50/00

CPC classification number: H04M3/5232 ,  G06Q50/01 ,  H04M3/5191

Abstract: What is disclosed is a customer relationship management system to help customer care agents prioritize a response to an incoming message. Historical conversations between customers and agents are retrieved. Each conversation has associated features and an assigned priority. Features are categorized into a plurality of categories. A priority is assigned to each category based on the features and the cumulative priority of all conversations in each category. Thereafter, an incoming message is received from a customer's computing device. Features are extracted from the incoming message. A determination is then made as to which of the categories this incoming message belongs based on this message's features. A priority is then assigned to the incoming message based on a priority assigned to the category which the incoming message belongs. The priority is then displayed for a customer agent so the agent can prioritize his/her response to that customer's incoming message.

Abstract translation: 披露的是客户关系管理系统，以帮助客户关怀代理优先考虑对传入消息的响应。 检索客户和代理之间的历史对话。 每个会话都具有相关联的功能和分配的优先级。 功能被分为多个类别。 基于每个类别中所有会话的特征和累积优先级，将优先级分配给每个类别。 此后，从客户的计算设备接收到传入消息。 从传入的消息中提取功能。 然后根据该消息的特征确定该传入消息所属的哪个类别。 然后，基于分配给传入消息所属类别的优先级，将优先级分配给传入消息。 然后为客户代理显示优先级，因此代理可以对他/她对该客户的传入消息的响应进行优先级排序。

公开(公告)号：US09208535B2

公开(公告)日：2015-12-08

申请号：US14089307

申请日：2013-11-25

Applicant: Xerox Corporation

Inventor： Changjun Wu ,  Tong Sun

IPC: G06T11/20 ,  G06T1/20 ,  G09G5/22

CPC classification number: G06T1/20 ,  G06T1/60 ,  G06T11/20 ,  G06T11/203 ,  G06T11/206 ,  G06T2210/32

Abstract: A method, non-transitory computer readable medium, and apparatus for large-scale web community detection using a graphical processing unit (GPU) are disclosed. For example, the method receives an input graph formatted into one or more first adjacency lists from a central processing unit (CPU), performs a first level shingling on the one or more first adjacency lists, sends the first level shingling to the CPU to generate an aggregate graph based upon the first level shingling, receives the aggregate graph formatted into one or more second adjacency lists from the CPU, performs a second level shingling on the one or more second adjacency lists and sends the second level shingling to the CPU to generate a dense sub-graph that identifies one or more web communities.

Abstract translation: 公开了一种使用图形处理单元（GPU）进行大规模网络社区检测的方法，非暂时计算机可读介质和装置。 例如，该方法从中央处理单元（CPU）接收格式化成一个或多个第一相邻列表的输入图，对该一个或多个第一邻接列表执行第一级着色，向CPU发送第一级着色，以产生 基于第一级着色的聚合图形从CPU接收格式化成一个或多个第二邻接列表的聚合图形，在一个或多个第二邻接列表上执行第二级别着色，并将第二级别着色发送到CPU以产生 识别一个或多个Web社区的密集子图。

公开(公告)号：US20150012550A1

公开(公告)日：2015-01-08

申请号：US13936737

申请日：2013-07-08

Applicant: XEROX CORPORATION

Inventor： Veerasundaravel THIRUGNANASUNDARAM ,  Tong Sun ,  David R. Vandervort ,  Arun Bakthavachalu

IPC: G06F17/30

CPC classification number: G06Q50/01 ,  G06F16/3346 ,  G06F16/9537

Abstract: Systems and methods of analyzing message data. An embodiment is a method of analyzing message data including a plurality of messages associated with one or more users. The method is performed using a computing system comprising a computer storage medium and a computer processor. The system parses each message of the plurality of messages to identify a plurality of message segments. The system assigns the message segments to the one or more users. The assignment is based at least in part on a determination of whether each message of the plurality of messages is a reply message. The segments of the message are assigned to a reply user if the message is determined to be a reply message. The system applies a statistical model to the assigned message segments, to determine predicted locations for the users. The system outputs the predicted locations for the users.

Abstract translation: 分析消息数据的系统和方法。 一个实施例是一种分析包括与一个或多个用户相关联的多个消息的消息数据的方法。 该方法使用包括计算机存储介质和计算机处理器的计算系统来执行。 系统解析多个消息中的每个消息以识别多个消息段。 系统将消息段分配给一个或多个用户。 该分配至少部分地基于确定多个消息中的每个消息是否是回复消息。 如果消息被确定为回复消息，则将消息的段分配给回复用户。 系统将统计模型应用于所分配的消息段，以确定用户的预测位置。 系统输出用户的预测位置。

公开(公告)号：US20140279627A1

公开(公告)日：2014-09-18

申请号：US13803951

申请日：2013-03-14

Applicant: XEROX CORPORATION

Inventor： Dhanwant S. Kang ,  Hua Liu ,  Tong Sun ,  Saurabh Kataria

IPC: G06Q10/10

CPC classification number: G06Q10/105

Abstract: A method, system, and computer program product for determining skills of an employee is disclosed. The method includes determining a first likelihood of at least one keyword from a plurality of keywords being relevant to a topic. The plurality of keywords is extractable from one or more publications associated with the employee, the one or more publications being accessible from a plurality of sources. The method further includes determining a second likelihood of the employee being associated with the topic for at least one source from the plurality of sources. A first set of keywords from the plurality of keywords is assigned to the employee based on the first likelihood and the second likelihood. The first set of keywords is indicative of the skills of the employee.

Abstract translation: 公开了一种用于确定员工技能的方法，系统和计算机程序产品。 该方法包括从与主题相关的多个关键字中确定至少一个关键字的第一可能性。 所述多个关键字可从与雇员相关联的一个或多个出版物中提取，所述一个或多个出版物可从多个来源访问。 所述方法还包括确定所述员工与所述主题相关联的第二可能性，用于来自所述多个源的至少一个源。 基于第一可能性和第二似然性，将多个关键词的第一组关键字分配给雇员。 第一组关键字表示员工的技能。

公开(公告)号：US10963789B2

公开(公告)日：2021-03-30

申请号：US15370305

申请日：2016-12-06

Applicant: Xerox Corporation

Inventor： Fenglong Ma ,  Radha Chitta ,  Jing Zhou ,  Palghat S. Ramesh ,  Tong Sun ,  Saurabh Singh Kataria

IPC: G06N5/02 ,  G06N5/04 ,  G06F17/27 ,  G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G06N3/063

Abstract: A long-term memory network method and system for text comprehension. A recurrent neural network can be provided, which includes an external memory module and a long-short term memory unit, wherein said recurrent neural network encodes raw text information into vector representations, forms memories, finds relevant sentences to answer questions, and generates multi-word answers to said questions utilizing the long short term memory unit.

公开(公告)号：US09256663B2

公开(公告)日：2016-02-09

申请号：US13973927

申请日：2013-08-22

Applicant: XEROX CORPORATION

Inventor： Sumit Bhatia ,  Jingxuan Li ,  Wei Peng ,  Tong Sun

IPC: G06F17/30

CPC classification number: G06F17/30598

Abstract: A system and method for analyzing social media data by obtaining social media data from a social media platform, where the social media data includes documents from multiple users of the social media platform; classifying the documents using a sentiment classifier; tokenizing the documents into terms; associating a sentiment with each term; detecting a first event based on a number of occurrences of a first term in the documents; and providing information associated with the event to a user, where the information includes the first term and a sentiment associated with the first term.

Abstract translation: 一种用于通过从社交媒体平台获得社交媒体数据来分析社交媒体数据的系统和方法，其中所述社交媒体数据包括来自所述社交媒体平台的多个用户的文档; 使用情感分类器对文档进行分类; 将文件标记为条款; 将情绪与每个术语联系起来; 基于所述文档中的第一项的出现次数来检测第一事件; 以及向所述用户提供与所述事件相关联的信息，其中所述信息包括所述第一项和与所述第一项相关联的情绪。

公开(公告)号：US20150025928A1

公开(公告)日：2015-01-22

申请号：US13944035

申请日：2013-07-17

Applicant: XEROX CORPORATION

Inventor： Dhanwant S. Kang ,  Hua Liu ,  Tong Sun

IPC: G06Q10/06

CPC classification number: G06Q10/063112

Abstract: A method, a system, and a computer program product for recommending one or more employees from a group of employees for a task are provided. For an employee in the group of employees a processor is used for determining a degree of separation metric with respect to other employees in the group of employees. Further, for the employee the processor is used for determining a personality metric based at least partially on a measure of past collaboration with other employees in the group of employees. The processor is further used for recommending the one or more employees from the group of employees for the task based on the degree of separation metric and the personality metric.

Abstract translation: 提供了一种方法，系统和计算机程序产品，用于从任务的一组雇员中推荐一个或多个雇员。 对于员工组中的员工，处理器用于确定员工组中其他员工的分离程度。 此外，对于雇员，处理器至少部分地基于过去与雇员组中的其他雇员的合作的度量来确定个性度量。 处理器进一步用于根据分离度量和个性度量推荐来自该组任务的一个或多个雇员。

公开(公告)号：US20180053118A1

公开(公告)日：2018-02-22

申请号：US15242900

申请日：2016-08-22

Applicant: XEROX CORPORATION

Inventor： Saurabh Kataria ,  Tong Sun

IPC: G06N99/00 ,  G06F9/54 ,  G06F17/30

CPC classification number: G06N20/00 ,  G06F16/951

Abstract: A method and a system are provided for correlation detection in multiple spatio-temporal datasets for event sensing in a geographical area. The method includes extracting datasets, comprising information about one or more events, from one or more data sources. The method further includes identifying a primary data source and secondary data sources from the one or more data sources. The method further includes extracting primary features from the datasets associated with the primary data source and secondary features from the datasets associated with the secondary data sources. The primary features are categorized into one or more categories. The method further includes training classifiers based on the primary features and/or the one or more categories. The method further includes detecting a correlation among the information associated with the one or more events based on a category transfer distribution from the primary data source to the secondary data sources.