公开(公告)号：US10089382B2

公开(公告)日：2018-10-02

申请号：US14887096

申请日：2015-10-19

Applicant: Xerox Corporation

Inventor： Akhil Arora ,  Manoj Gupta ,  Shourya Roy

IPC: G06F17/30

Abstract: A method, non-transitory computer readable medium and apparatus for transforming a knowledge base into a machine readable format for an automated system are disclosed. For example, the method includes clustering two or more documents of a plurality of documents in the knowledge base that are similar based upon a domain specific shingling function, identifying a pattern from each document of the plurality of documents that are clustered, wherein the pattern comprises a sequence of steps, aggregating the pattern of the each document of the plurality of documents that are clustered into a trie data-structure that is machine readable, receiving a request and applying the trie data-structure to provide a solution to the request.

公开(公告)号：US20170109426A1

公开(公告)日：2017-04-20

申请号：US14887096

申请日：2015-10-19

Applicant: Xerox Corporation

Inventor： Akhil Arora ,  Manoj Gupta ,  Shourya Roy

IPC: G06F17/30

CPC classification number: G06F17/30598 ,  G06F17/30011 ,  G06F17/30327 ,  G06F17/3053

Abstract: A method, non-transitory computer readable medium and apparatus for transforming a knowledge base into a machine readable format for an automated system are disclosed. For example, the method includes clustering two or more documents of a plurality of documents in the knowledge base that are similar based upon a domain specific shingling function, identifying a pattern from each document of the plurality of documents that are clustered, wherein the pattern comprises a sequence of steps, aggregating the pattern of the each document of the plurality of documents that are clustered into a trie data-structure that is machine readable, receiving a request and applying the trie data-structure to provide a solution to the request.

公开(公告)号：US20160246896A1

公开(公告)日：2016-08-25

申请号：US14628070

申请日：2015-02-20

Applicant: XEROX CORPORATION

Inventor： Akhil Arora ,  Sainyam Galhotra ,  Shourya Roy ,  Srinivas Virinchi

IPC: G06F17/30

CPC classification number: G06F16/9535 ,  G06Q50/01

Abstract: The disclosed embodiments illustrate methods and systems for identifying one or more target users, of a first content, from a social network. The disclosed method includes generating a graph comprising one or more nodes, representative of one or more users of the social network, and one or more edges connecting the one or more nodes. Thereafter, a first set of nodes is selected from the one or more nodes based on at least a first score and/or a second score. Finally, a third set of nodes is selected from the first set of nodes based on at least a polarity score associated with a second set of nodes, determined based on at least a first weight and a second weight, connected to each node in the first set of nodes, wherein the third set of nodes represents the one or more target users.

Abstract translation: 所公开的实施例示出了用于从社交网络识别第一内容的一个或多个目标用户的方法和系统。 所公开的方法包括生成包括表示社交网络的一个或多个用户的一个或多个节点以及连接该一个或多个节点的一个或多个边缘的图形。 此后，基于至少第一分数和/或第二分数从一个或多个节点中选择第一组节点。 最后，基于至少基于至少第一权重和第二权重确定的与第二组节点相关联的极性分数，从第一组节点中选择第三组节点，连接到第一节点中的每个节点 一组节点，其中第三组节点表示一个或多个目标用户。