公开(公告)号：US09645994B2

公开(公告)日：2017-05-09

申请号：US14564170

申请日：2014-12-09

Applicant: XEROX CORPORATION

Inventor： Arvind Agarwal ,  Saurabh Kataria ,  Tong Sun ,  Sumit Bhatia

IPC: G06F17/27 ,  G06Q30/00 ,  G06Q50/00 ,  G10L15/06 ,  G06F19/24 ,  G06N99/00

CPC classification number: G06F17/274 ,  G06F17/2765 ,  G06F17/2775 ,  G06F17/279 ,  G06F19/24 ,  G06N99/005 ,  G06Q30/00 ,  G06Q50/01 ,  G10L15/06

Abstract: The technical solution under the present disclosure automatically analyzes conversations between users by receiving a training dataset having a text sequence including sentences of a conversation between the users; extracting feature(s) from the training dataset based on features; providing equation(s) for a plurality of tasks, the equation(s) being a mathematical function for calculating value of a parameter for each of the tasks based on the extracted feature; determining value of the parameter for tasks by processing the equation(s); assigning label(s) to each of the sentences based on the determined value of the parameter, a first label being selected from a plurality of first labels, and a second label being selected from a number of second labels; and storing and maintaining with the database a pre-defined value of the parameter, first labels, conversations, second labels, a test dataset, equation(s), and pre-defined features.

公开(公告)号：US20140279618A1

公开(公告)日：2014-09-18

申请号：US13836233

申请日：2013-03-15

Applicant: XEROX CORPORATION

Inventor： LEI LI ,  Wei Peng ,  Saurabh Kataria ,  Tong Sun

IPC: G06Q30/00 ,  G06Q50/00

CPC classification number: G06Q30/01 ,  G06Q50/01

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.

Abstract translation: 公开了一种方法，非暂时性计算机可读介质和用于推荐主题 - 内聚和交互式隐式社区的装置。 例如，该方法接收对客户关怀的请求，基于与客户关怀请求的主题相关的相关性得分，选择从社交媒体网站的多个个体用户识别的隐式社区，并且响应于该隐含社区 要求客户关怀。

公开(公告)号：US20180025069A1

公开(公告)日：2018-01-25

申请号：US15215684

申请日：2016-07-21

Applicant: XEROX CORPORATION

Inventor： Saurabh Kataria

IPC: G06F17/30 ,  G06N99/00 ,  H04L29/08

CPC classification number: G06F17/30598 ,  G06F17/241 ,  G06F17/30525 ,  G06N99/005 ,  G06Q50/01 ,  H04L67/22

Abstract: The disclosed embodiments illustrate methods and systems for detecting personal life events of users. The method includes training classifiers based on a set of features extracted from each of an annotated first set of social media data. The first set of social media is associated with one or more first categories. Further, the first set of social media data are annotated by one or more crowdworkers based on one or more second categories. The method further includes extracting a second set of social media data of one or more users, associated with the one or more first categories, from the one or more social media platforms. The method further includes categorizing the extracted second set of social media data into the one or more second categories by use of the trained classifiers. The categorization is further utilized to detect the personal life events of the one or more users.

公开(公告)号：US20140337320A1

公开(公告)日：2014-11-13

申请号：US13893330

申请日：2013-05-13

Applicant: Xerox Corporation

Inventor： Andres Quiroz Hernandez ,  Saurabh Kataria ,  David R. Vandervort

IPC: G06F17/30

CPC classification number: G06F17/30539 ,  G06F17/30398

Abstract: Systems and methods of data analytics, which in various embodiments enable business analysts to apply certain machine learning and analytics algorithms in a self-service manner by binding them to generic business questions that they can be used to answer in particular domains. The general approach may be to define the application of an algorithm to solve specific problems (questions) for particular combinations of a business domain and a data category. At design time, the algorithm may be linked to canonical data within a data category and programmed to run with this canonical data set. At runtime, given a dataset and its category, and a business domain, a user may choose from the corresponding questions and the system may run the algorithm bound to that question.

Abstract translation: 数据分析的系统和方法，其在各种实施例中使得业务分析人员能够以自助服务的方式将某些机器学习和分析算法绑定到可以用于特定域中回答的通用业务问题。 一般方法可以是定义算法的应用以解决特定的业务领域和数据类别组合的问题（问题）。 在设计时，该算法可以链接到数据类别内的规范数据，并被编程为运行该规范数据集。 在运行时，给定数据集及其类别和业务域，用户可以从相应的问题中进行选择，并且系统可以运行绑定到该问题的算法。

公开(公告)号：US20170075991A1

公开(公告)日：2017-03-16

申请号：US15098488

申请日：2016-04-14

Applicant: Xerox Corporation

Inventor： Saurabh Kataria ,  Arvind Agarwal

IPC: G06F17/30 ,  G06N7/00 ,  G06N99/00

CPC classification number: G06F16/358 ,  G06F16/3322 ,  G06F16/3329 ,  G06F16/337 ,  G06F16/9535 ,  G06F16/9558 ,  G06N7/005 ,  G06N20/00

Abstract: A method for assigning a topic to a collection of microblog posts may include, by an acquisition module, receiving from at least one messaging service server, a plurality of posts, wherein each of the plurality of posts comprise post content; by a generation module, analyzing the posts and extract, from at least one of the posts, a link with an address to an external document; and, by the acquisition module, accessing the external document that is associated with the address and fetch external content associated with the document. The method may also include by the generation module: analyzing the post content to identify at least one label for each post, for each post that includes a link, analyzing the external content to identify a topic, and using a topic modeling technique to generate a trained topic model comprising a plurality of topics and a plurality of associated words.

Abstract translation: 用于将主题分配给微博帖子的集合的方法可以包括由获取模块从至少一个消息服务服务器接收多个帖子，其中所述多个帖子中的每一个包括帖子内容; 通过生成模块，从至少一个帖子分析帖子并提取与地址到外部文档的链接; 以及由所述获取模块访问与所述地址相关联的外部文档并获取与所述文档相关联的外部内容。 该方法还可以包括：生成模块：分析帖子内容以针对每个帖子识别至少一个标签，对于包括链接的每个帖子，分析外部内容以识别主题，以及使用主题建模技术来生成 训练话题模型包括多个主题和多个关联词。

公开(公告)号：US20170017654A1

公开(公告)日：2017-01-19

申请号：US14798507

申请日：2015-07-14

Applicant: XEROX CORPORATION

Inventor： Saurabh Kataria ,  Tong Sun

IPC: G06F17/30

CPC classification number: G06F16/24578 ,  G06F16/248 ,  G06F16/9535

Abstract: The disclosed embodiments illustrate methods and systems for searching for a first user. The one or more inputs pertaining to one or more first attributes of the first user are received. Further, the one or more first attributes of the first user are ranked based on at least a presence of the one or more first attributes among one or more second attributes pertaining to one or more second users. Thereafter, one or more search strings comprising at least one attribute selected from the ranked one or more first attributes are generated, wherein the one or more search strings are utilizable to search for the first user. Finally, a list of third users is obtained from one or more search engines in response to the one or more search strings.

Abstract translation: 所公开的实施例示出了用于搜索第一用户的方法和系统。 接收与第一用户的一个或多个第一属性有关的一个或多个输入。 此外，基于与一个或多个第二用户有关的一个或多个第二属性中的至少一个或多个第一属性的存在，对第一用户的一个或多个第一属性进行排名。 此后，生成包括从排序的一个或多个第一属性中选择的至少一个属性的一个或多个搜索字符串，其中一个或多个搜索字符串可用于搜索第一用户。 最后，响应于一个或多个搜索字符串，从一个或多个搜索引擎获得第三用户的列表。

公开(公告)号：US09378250B2

公开(公告)日：2016-06-28

申请号：US13893330

申请日：2013-05-13

Applicant: XEROX CORPORATION

Inventor： Andres Quiroz Hernandez ,  Saurabh Kataria ,  David R Vandervort

IPC: G06F7/00 ,  G06F17/00 ,  G06F17/30

CPC classification number: G06F17/30539 ,  G06F17/30398

Abstract: Systems and methods of data analytics, which in various embodiments enable business analysts to apply certain machine learning and analytics algorithms in a self-service manner by binding them to generic business questions that they can be used to answer in particular domains. The general approach may be to define the application of an algorithm to solve specific problems (questions) for particular combinations of a business domain and a data category. At design time, the algorithm may be linked to canonical data within a data category and programmed to run with this canonical data set. At runtime, given a dataset and its category, and a business domain, a user may choose from the corresponding questions and the system may run the algorithm bound to that question.

Abstract translation: 数据分析的系统和方法，其在各种实施例中使得业务分析人员能够以自助服务的方式将某些机器学习和分析算法绑定到可以用于特定域中回答的通用业务问题。 一般方法可以是定义算法的应用以解决特定的业务领域和数据类别组合的问题（问题）。 在设计时，该算法可以链接到数据类别内的规范数据，并被编程为运行该规范数据集。 在运行时，给定数据集及其类别和业务域，用户可以从相应的问题中进行选择，并且系统可以运行绑定到该问题的算法。

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.

公开(公告)号：US20160358220A1

公开(公告)日：2016-12-08

申请号：US14731449

申请日：2015-06-05

Applicant: XEROX CORPORATION

Inventor： Saurabh Kataria

IPC: G06Q30/02 ,  G06Q50/00

CPC classification number: G06Q30/0269 ,  G06Q30/0255 ,  G06Q50/01

Abstract: The disclosed embodiments illustrate methods and systems for identifying a set of users for a marketing campaign. The method includes retrieving one or more first keywords from one or more messages shared by one or more first users, or from a user profile of each of one or more first users. The one or more first keywords are indicative of one or more events associated with one or more first users, and one or more intents of said one or more first users. The method further includes receiving one or more second keywords, pertaining to marketing campaign, from a computing device of a second user. Thereafter, the method includes identifying said set of users from said one or more first users based on a correlation between said one or more first keywords and said one or more second keywords. The method is performed by one or more microprocessors.

Abstract translation: 所公开的实施例示出了用于识别用于营销活动的一组用户的方法和系统。 该方法包括从一个或多个第一用户共享的一个或多个消息中或从一个或多个第一用户中的每一个的用户简档中检索一个或多个第一关键字。 一个或多个第一关键字指示与一个或多个第一用户相关联的一个或多个事件，以及所述一个或多个第一用户的一个或多个意图。 该方法还包括从第二用户的计算设备接收与营销活动相关的一个或多个第二关键字。 此后，该方法包括基于所述一个或多个第一关键词与所述一个或多个第二关键字之间的相关性，从所述一个或多个第一用户识别所述一组用户。 该方法由一个或多个微处理器执行。

公开(公告)号：US20160162804A1

公开(公告)日：2016-06-09

申请号：US14564138

申请日：2014-12-09

Applicant: XEROX CORPORATION

Inventor： Arvind Agarwal ,  Saurabh Kataria

IPC: G06N99/00 ,  G06Q30/00

CPC classification number: G06N99/005 ,  G06Q30/016

Abstract: Embodiments of a computer-implemented method for automatically analyzing a conversational sequence between multiple users are disclosed. The method includes receiving signals corresponding to a training dataset including multiple conversational sequences; extracting a feature from the training dataset based on predefined feature categories; formulating multiple tasks for being learned from the training dataset based on the extracted feature, each task related to a predefined label; and providing a model for each formulated task, the model including a set of parameters common to the tasks. The set includes an explicit parameter, which is explicitly shared with each of the formulated tasks. The method further includes optimizing a value of the explicit parameter to create an optimized model; creating a trained model for the formulated tasks using the optimized value of the explicit parameter; and assigning predefined labels for the formulated tasks to a live dataset based on the corresponding trained model.

Abstract translation: 公开了一种用于自动分析多个用户之间的会话序列的计算机实现的方法的实施例。 该方法包括接收对应于包括多个会话序列的训练数据集的信号; 基于预定义的特征类别从训练数据集中提取特征; 基于提取的特征，从训练数据集中学习多个任务，每个任务与预定义的标签相关; 并为每个制定的任务提供一个模型，该模型包括一组任务共同的参数。 该集合包括一个显式参数，它与每个已编制的任务明确共享。 该方法还包括优化显式参数的值以创建优化的模型; 使用显式参数的优化值为拟定的任务创建一个训练有素的模型; 并根据相应的经过训练的模型，将配制的任务的预定义标签分配给活动数据集。