公开(公告)号：US09934249B2

公开(公告)日：2018-04-03

申请号：US14294193

申请日：2014-06-03

Applicant: Xerox Corporation

Inventor： Abhishek Tripathi ,  Avinash Sharma ,  Anirban Mondal ,  Kuldeep Yadav ,  Nischal Murthy Piratla

IPC: G06F17/30 ,  G06F7/00

CPC classification number: G06F17/30241 ,  G06F17/30327 ,  G06F17/30528 ,  G06F17/30551 ,  G06F17/30554

Abstract: The present disclosure is directed to systems and methods for context-aware and personalized access to data corresponding to an event. The data is related to multiple predefined parameters including a location, date, time, and a classifier representing a status or an impact intensity for the event. The method includes receiving the data and an event type for the data. The event type is selected from multiple predefined event types. The method also includes creating a hierarchical data structure configured to spatially index the data based on the selected event type. The hierarchical data structure includes a node representing the selected event type. The node is augmented using a linked list for referring to the data to be stored in a database. The node is associated with a frequency of occurrence of the selected event type.

公开(公告)号：US20160364690A1

公开(公告)日：2016-12-15

申请号：US14736649

申请日：2015-06-11

Applicant: XEROX CORPORATION

Inventor： Avinash Sharma ,  Abhishek Tripathi ,  Koustuv Dasgupta ,  Nischal Murthy Piratla ,  Raghav Goyal ,  Lisa Sigmund ,  Mark Sconyers

IPC: G06Q10/10 ,  H04L12/58

CPC classification number: G06Q10/107 ,  H04L51/04 ,  H04L51/26

Abstract: Disclosed are methods and systems for transmitting a first electronic message to an employee. The method further includes generating a first data structure based on one or more first parameters of one or more electronic messages, one or more demographic attributes associated with the employee and one or more second parameters representative of one or more feedbacks provided by the employee on each of the one or more electronic messages other than the first electronic message. The method further includes determining a priority of the first electronic message, wherein the determination of the priority comprises predicting the one or more second parameters associated with the employee for the first electronic message based on the one or more second data structures. The method further includes transmitting the first electronic message to the employee based on the determined priority of the first electronic message.

Abstract translation: 公开了用于向雇员发送第一电子消息的方法和系统。 该方法还包括基于一个或多个电子消息的一个或多个第一参数生成第一数据结构，与雇员相关联的一个或多个人口统计属性以及表示雇员在每个上提供的一个或多个反馈的一个或多个第二参数 的第一电子消息以外的一个或多个电子消息。 所述方法还包括确定所述第一电子消息的优先级，其中所述优先级的确定包括基于所述一个或多个第二数据结构来预测与所述雇员相关联的所述第一电子消息的所述一个或多个第二参数。 该方法还包括基于所确定的第一电子消息的优先级向雇员发送第一电子消息。

公开(公告)号：US20160350425A1

公开(公告)日：2016-12-01

申请号：US14721026

申请日：2015-05-26

Applicant: XEROX CORPORATION

Inventor： Abhishek Tripathi ,  Partha Dutta ,  Preethy Varma ,  Avinash Sharma ,  Varun Sharma ,  Nischal Murthy Piratla

IPC: G06F17/30 ,  G06F3/0482 ,  G06F7/24

CPC classification number: G06F16/9535 ,  G06F7/24 ,  G06F16/3334 ,  G06Q10/1053

Abstract: The disclosed embodiments illustrate methods and systems for selecting a set of resumes for a job description (JD). The method includes extracting at least a portion in each of a plurality of resumes based on a scoping criterion received from a user. The method further includes extracting one or more first features from said portion in each of said plurality of resumes. The method further includes selecting said set of resumes from said plurality of resumes based on a comparison between said one or more first features and said scoping criterion. Thereafter, the method includes displaying, by a display device, one or more second features of said selected set of resumes on a graphical user interface to said user. The method is performed by one or more microprocessors.

Abstract translation: 所公开的实施例示出了用于为作业描述（JD）选择一组简历的方法和系统。 该方法包括基于从用户接收的范围标准来提取多个简历中的每一个中的至少一部分。 该方法还包括从所述多个简历中的每一个中的所述部分提取一个或多个第一特征。 该方法还包括基于所述一个或多个第一特征与所述范围标准之间的比较从所述多个简历中选择所述一组简历。 此后，该方法包括通过显示设备在所述用户的图形用户界面上显示所述选定的一组简历的一个或多个第二特征。 该方法由一个或多个微处理器执行。

公开(公告)号：US09269259B2

公开(公告)日：2016-02-23

申请号：US14273565

申请日：2014-05-09

Applicant: Xerox Corporation

Inventor： Anirban Mondal ,  Tridib Mukherjee ,  Avinash Sharma ,  Saraschandra Karanam

IPC: G08B25/10

CPC classification number: G08B25/10 ,  G06Q10/10 ,  G06Q10/101 ,  H04L67/18 ,  H04L67/306

Abstract: The disclosed embodiments illustrate methods and systems for processing crowd-sensed data. The method includes receiving the crowd-sensed data from a mobile device associated with a user. The crowd-sensed data corresponds to metadata of an event pertaining to an aberration in at least one of a public service, a public infrastructure, a private service, or a private infrastructure. Thereafter, the event may be prioritized based at least on a type of the event, a measure of impact of the event, or a measure of urgency to resolve the event. Further, a notification of the event may be transmitted to an organization responsible to at least resolve the event, based on the prioritizing, wherein the notification comprises at least the metadata.

Abstract translation: 所公开的实施例示出了用于处理人群感测数据的方法和系统。 该方法包括从与用户相关联的移动设备接收人群感测数据。 人群感测数据对应于与公共服务，公共基础设施，私人服务或私人基础设施中的至少一个有关的事件的事件的元数据。 此后，可以至少基于事件的类型，事件的影响的度量或解决事件的紧急度量来优先考虑该事件。 此外，可以基于优先级将事件的通知发送到负责至少解决事件的组织，其中通知至少包括元数据。

公开(公告)号：US20170262868A1

公开(公告)日：2017-09-14

申请号：US15064642

申请日：2016-03-09

Applicant: XEROX CORPORATION

Inventor： Geetha Manjunath ,  Avinash Sharma ,  Narayanan Unny Edakunni ,  Divanshu Gupta ,  Manoj Gupta ,  Shruti Kunde ,  Rong Zhou

IPC: G06Q30/02 ,  G06F17/30 ,  G06Q30/00

CPC classification number: G06Q30/0201 ,  G06F16/3344 ,  G06F16/8358 ,  G06F16/9024 ,  G06F16/90335 ,  G06F16/9038 ,  G06F16/907 ,  G06Q30/016

Abstract: A method and a system are provided to derive one or more observations between a plurality of parameters in customer care data. The method includes receiving customer care data from a plurality of data sources. Thereafter the customer care data is transformed to create a plurality of data structures utilizing one or more semantic web protocols. The plurality of data structures represents a relationship between one or more parameters in the customer care data. Thereafter a subset of data structures is extracted from the plurality of data structures based on a query received via a query interface. One or more graph analytics techniques are applied on the subset of data structures to determine one or more observations associated with the subset of data structures. Thereafter the one or more observations pertaining to the subset of data structures are displayed on a display screen.

公开(公告)号：US20170032391A1

公开(公告)日：2017-02-02

申请号：US14810508

申请日：2015-07-28

Applicant: XEROX CORPORATION

Inventor： Avinash Sharma ,  Narendra Annamaneni ,  Divanshu Gupta ,  Geetha Manjunath

IPC: G06Q30/02

CPC classification number: G06Q30/0202 ,  G06Q30/0204 ,  G06Q50/01

Abstract: A method and a system are provided for customer churn prediction. The method includes creating a graph comprising a plurality of nodes and a plurality of edges. At least one edge of the plurality of edges in the graph connects more than two nodes of the plurality of nodes. Each of the plurality of nodes represents a customer. Thereafter, a similarity matrix representative of a similarity between each of a plurality of customers is determined based on the graph. Further, the similarity matrix is decomposed into a first matrix and a second matrix. A third matrix is determined based on the first matrix, the second matrix, and a scaling parameter. The third matrix is utilized to identify a set of potential churn customers from the plurality of customers. Thereafter, the set of potential churn customers is presented on a user-computing device.

Abstract translation: 提供了一种用于客户流失预测的方法和系统。 该方法包括创建包括多个节点和多个边缘的图形。 图中的多个边缘的至少一个边缘连接多个节点的多于两个节点。 多个节点中的每一个代表客户。 此后，基于该图来确定表示多个客户中的每一个之间的相似度的相似度矩阵。 此外，相似性矩阵被分解为第一矩阵和第二矩阵。 基于第一矩阵，第二矩阵和缩放参数来确定第三矩阵。 第三矩阵用于识别来自多个客户的一组潜在的流失客户。 此后，一组潜在的流失客户被呈现在用户计算设备上。

公开(公告)号：US20150347478A1

公开(公告)日：2015-12-03

申请号：US14294193

申请日：2014-06-03

Applicant: Xerox Corporation

Inventor： Abhishek Tripathi ,  Avinash Sharma ,  Anirban Mondal ,  Kuldeep Yadav ,  Nischal Murthy Piratla

IPC: G06F17/30

CPC classification number: G06F17/30241 ,  G06F17/30327 ,  G06F17/30528 ,  G06F17/30551 ,  G06F17/30554

Abstract: The present disclosure is directed to systems and methods for context-aware and personalized access to data corresponding to an event. The data is related to multiple predefined parameters including a location, date, time, and a classifier representing a status or an impact intensity for the event. The method includes receiving the data and an event type for the data. The event type is selected from multiple predefined event types. The method also includes creating a hierarchical data structure configured to spatially index the data based on the selected event type. The hierarchical data structure includes a node representing the selected event type. The node is augmented using a linked list for referring to the data to be stored in a database. The node is associated with a frequency of occurrence of the selected event type.

Abstract translation: 本公开涉及用于上下文感知和个性化访问对应于事件的数据的系统和方法。 数据与多个预定义参数相关，包括位置，日期，时间和表示事件的状态或冲击强度的分类器。 该方法包括接收数据和数据的事件类型。 从多个预定义事件类型中选择事件类型。 该方法还包括创建分层数据结构，其被配置为基于所选择的事件类型对数据进行空间索引。 层次数据结构包括表示所选事件类型的节点。 使用链表扩充节点以引用要存储在数据库中的数据。 节点与所选事件类型的发生频率相关联。

公开(公告)号：US09444846B2

公开(公告)日：2016-09-13

申请号：US14308748

申请日：2014-06-19

Applicant: Xerox Corporation

Inventor： Avinash Sharma ,  Partha Dutta ,  Tridib Mukherjee ,  Shruti Kunde

IPC: H04L29/06

CPC classification number: H04L63/20 ,  H04L63/126

Abstract: Embodiments of a method are disclosed for computing trust index among multiple entities associated with a resource marketplace. The method includes receiving multiple inputs including interaction attributes, attribute importance factors, references to databases, and multiple entities associated with the resource marketplace. The method also includes creating a weighted-interaction graph based on the received inputs. The weighted-interaction graph includes multiple vertices representing the entities. The method further includes performing a topology-specific analysis of the weighted-interaction graph. The method furthermore includes computing Euclidean distances for each pair of vertices in the weighted-interaction graph based on the performed analysis. The method also includes determining a trust index for a first entity in the received multiple entities based on the computed Euclidean distances. The trust index includes ranking of at least one of the multiple entities with respect to the first entity. The ranking is inversely proportional to the computed Euclidean distances.

Abstract translation: 公开了一种用于计算与资源市场相关联的多个实体之间的信任指数的方法的实施例。 该方法包括接收多个输入，包括交互属性，属性重要性因素，对数据库的引用以及与资源市场相关联的多个实体。 该方法还包括基于所接收的输入创建加权交互图。 加权交互图包括表示实体的多个顶点。 该方法还包括执行加权交互图的拓扑特定分析。 该方法还包括基于所执行的分析来计算加权交互图中的每对顶点的欧几里得距离。 该方法还包括基于所计算的欧氏距离来确定所接收的多个实体中的第一实体的信任度索引。 信任指数包括相对于第一实体的至少一个多个实体的排名。 排名与计算的欧氏距离成反比。

公开(公告)号：US20160132831A1

公开(公告)日：2016-05-12

申请号：US14535359

申请日：2014-11-07

Applicant: Xerox Corporation

Inventor： Avinash Sharma ,  Partha Dutta ,  Jyotirmaya Mahapatra ,  Abhishek Tripathi

IPC: G06Q10/10

CPC classification number: G06Q10/1053

Abstract: The disclosed embodiments illustrate methods and systems for human resource management in an organization. A graph, representative of relationships between employees, job openings, and candidates applied for the job openings, is generated. The graph is transformed to generate a graph matrix deterministic of a mapping of nodes depicted in the graph, in a predetermined dimensional space. Further, a first distance between nodes corresponding to the candidates and a node corresponding to a job opening is determined based on the graph matrix. A list of ranked candidates, based on the first distance, is presented over a display associated with a hiring manager, allowing selection of a set of candidates. Additionally, a second distance between nodes corresponding to the candidates and between each node corresponding to a candidate and each node corresponding to an employee, is determined, based on which a set of candidates for a team are selected.

Abstract translation: 所公开的实施例示出了组织中的人力资源管理的方法和系统。 生成代表雇员之间的关系，工作机会和申请职位空缺的候选人的图表。 转换图形以在预定维度空间中生成图中描绘的节点的映射的图形矩阵确定性。 此外，基于图表矩阵确定与候选对应的节点与对应于作业开放的节点之间的第一距离。 基于第一距离的排名候选者的列表被呈现在与招聘经理相关联的显示器上，允许选择一组候选者。 此外，基于此选择一组候选人，确定对应于候选的节点和对应于候选者的每个节点与对应于雇员的每个节点之间的第二距离。

公开(公告)号：US20150373049A1

公开(公告)日：2015-12-24

申请号：US14308748

申请日：2014-06-19

Applicant: Xerox Corporation

Inventor： Avinash Sharma ,  Partha Dutta ,  Tridib Mukherjee ,  Shruti Kunde

IPC: H04L29/06

CPC classification number: H04L63/20 ,  H04L63/126

Abstract: Embodiments of a method are disclosed for computing trust index among multiple entities associated with a resource marketplace. The method includes receiving multiple inputs including interaction attributes, attribute importance factors, references to databases, and multiple entities associated with the resource marketplace. The method also includes creating a weighted-interaction graph based on the received inputs. The weighted-interaction graph includes multiple vertices representing the entities. The method further includes performing a topology-specific analysis of the weighted-interaction graph. The method furthermore includes computing Euclidean distances for each pair of vertices in the weighted-interaction graph based on the performed analysis. The method also includes determining a trust index for a first entity in the received multiple entities based on the computed Euclidean distances. The trust index includes ranking of at least one of the multiple entities with respect to the first entity. The ranking is inversely proportional to the computed Euclidean distances.

Abstract translation: 公开了一种用于计算与资源市场相关联的多个实体之间的信任指数的方法的实施例。 该方法包括接收多个输入，包括交互属性，属性重要性因素，对数据库的引用以及与资源市场相关联的多个实体。 该方法还包括基于所接收的输入创建加权交互图。 加权交互图包括表示实体的多个顶点。 该方法还包括执行加权交互图的拓扑特定分析。 该方法还包括基于所执行的分析来计算加权交互图中的每对顶点的欧几里得距离。 该方法还包括基于所计算的欧氏距离来确定所接收的多个实体中的第一实体的信任度索引。 信任指数包括相对于第一实体的至少一个多个实体的排名。 排名与计算的欧氏距离成反比。