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：US20160132924A1

公开(公告)日：2016-05-12

申请号：US14538214

申请日：2014-11-11

Applicant: XEROX CORPORATION

Inventor： VEERASUNDARAVEL THIRUGNANASUNDARAM ,  Saravanan Krishnan ,  Tong Sun ,  Arun Bakthavachalu

IPC: G06Q30/02 ,  G06Q50/00

CPC classification number: G06Q30/0252 ,  G06Q30/0261 ,  G06Q50/01

Abstract: The disclosed embodiments illustrate methods and systems for creating event-triggered marketing campaigns. The method includes determining one or more events by analyzing messages of one or more users on social media platforms. Each event has an associated location and a timeline. Thereafter, one or more first attributes, associated with a set of users, corresponding to each event, are determined from the one or more users. Further, one or more target customers are determined from one or more customers of an organization based on the one or more first attributes and one or more second attributes of the one or more customers. Thereafter, the marketing campaigns are created for the one or more target customers based on the one or more second attributes and a historical data of the one or more target customers. Further, media delivery channels for the marketing campaigns are determined based on the timeline of each event.

Abstract translation: 所公开的实施例说明了用于创建事件触发的营销活动的方法和系统。 该方法包括通过分析社交媒体平台上的一个或多个用户的消息来确定一个或多个事件。 每个事件都有相关的位置和时间轴。 此后，从一个或多个用户确定与每个事件对应的一组用户相关联的一个或多个第一属性。 此外，一个或多个目标客户基于一个或多个客户的一个或多个第一属性和一个或多个第二属性从组织的一个或多个客户确定。 此后，基于一个或多个第二属性和一个或多个目标客户的历史数据为一个或多个目标客户创建营销活动。 此外，基于每个事件的时间线来确定营销活动的媒体传送渠道。

公开(公告)号：US20150309962A1

公开(公告)日：2015-10-29

申请号：US14262391

申请日：2014-04-25

Applicant: Xerox Corporation

Inventor： MOSHE LICHMAN ,  Wei Peng ,  Tong Sun ,  Ming Yang

IPC: G06F17/18 ,  H04L29/08 ,  H04L12/58

CPC classification number: G06Q20/4016 ,  G06F2221/2111 ,  G06Q10/04 ,  G06Q10/063 ,  G06Q10/10 ,  G06Q50/01 ,  H04L51/20 ,  H04L51/32 ,  H04L67/18 ,  H04L67/22 ,  H04W4/029

Abstract: A method, non-transitory computer readable medium, and apparatus for predicting a location behavior of at least one individual are disclosed. For example, the method receives a plurality of social networking messages having spatial location data and user identification information, filters the plurality of social networking messages to remove one or more of the plurality of social networking messages that are not related to mobility of a user to create a filtered plurality of social networking messages, creates a population model by applying a kernel density estimation to the filtered plurality of social networking messages, creates an individual model for each different user identification by applying the kernel density estimation to a subset of the filtered plurality of social networking messages for the each different user identification and generates a probability density function map that predicts the location behavior of the at least one individual.

Abstract translation: 公开了一种用于预测至少一个人的位置行为的方法，非暂时计算机可读介质和装置。 例如，该方法接收具有空间位置数据和用户识别信息的多个社交网络消息，对多个社交网络消息进行过滤以去除与用户移动性无关的多个社交网络消息中的一个或多个 创建过滤的多个社交网络消息，通过将核密度估计应用于经筛选的多个社交网络消息来创建群体模型，通过将核密度估计应用于经滤波的多个社会网络消息的子集来为每个不同的用户标识创建个体模型 的用于每个不同用户标识的社交网络消息，并且生成预测所述至少一个人的位置行为的概率密度函数图。

公开(公告)号：US20150032724A1

公开(公告)日：2015-01-29

申请号：US13948204

申请日：2013-07-23

Applicant: Xerox Corporation

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

IPC: G06F17/30

CPC classification number: G06F17/30654 ,  G06Q10/10 ,  G06Q30/01 ,  H04L51/02 ,  H04L51/16 ,  H04L51/32

Abstract: A first embodiment of the disclosure relates to a method for responding to a message posted in a social media stream. The method includes monitoring a social media site for at least one message including select subject matter. In response to identifying a message, the method includes collecting a series of exchanges that form a conversational thread including the message. The method includes determining at least one content attribute of the message. The method includes classifying the message using at least one key attribute. The method includes searching a database for a reference message using a combination of the at least one content and key attributes. The method includes determining a previous outcome of a reference thread including the reference message. The method includes using the previous outcome for determining a course of action.

Abstract translation: 本公开的第一实施例涉及一种用于响应在社交媒体流中发布的消息的方法。 该方法包括对包括选择主题的至少一个消息的社交媒体站点进行监视。 响应于识别消息，该方法包括收集形成包括消息的对话线程的一系列交换。 该方法包括确定消息的至少一个内容属性。 该方法包括使用至少一个密钥属性对消息进行分类。 该方法包括使用至少一个内容和关键属性的组合来搜索数据库中的参考消息。 该方法包括确定包括参考消息的参考线程的先前结果。 该方法包括使用先前的结果来确定行动过程。

公开(公告)号：US20140337085A1

公开(公告)日：2014-11-13

申请号：US13889545

申请日：2013-05-08

Applicant: XEROX CORPORATION

Inventor： Lei Li ,  Tong Sun ,  Hua Liu

IPC: G06Q10/06

CPC classification number: G06Q10/0633

Abstract: The present invention generally relates to systems and methods for recommending specific service instances to fill a service workflow template and complete a user's service goal. Some embodiments utilize both a user trust network and a service trust network. Such embodiments perform a random walk on the service trust network and consider the opinions of trusted neighbors of the customer in the user trust network.

Abstract translation: 本发明一般涉及用于推荐特定服务实例来填充服务工作流模板并完成用户服务目标的系统和方法。 一些实施例同时利用用户信任网络和服务信任网络。 这样的实施例在服务信任网络上执行随机游走，并且考虑用户信任网络中的客户的可信邻居的意见。

公开(公告)号：US20140280621A1

公开(公告)日：2014-09-18

申请号：US13833858

申请日：2013-03-15

Applicant: PALO ALTO RESEARCH CENTER INCORPORATED ,  XEROX CORPORATION

Inventor： Julien Jean Lucien Bourdaillet ,  Wei Peng ,  Tong Sun ,  Margaret Helen Szymanski

IPC: H04L29/06

CPC classification number: G06Q50/01 ,  G06Q10/107 ,  H04L65/40

Abstract: The present disclosure provides a system that allows for the real-time and online monitoring of the exchanges between customers and a CRM team over social media. While crawling all messages exchanged over the social media by customers and CRM team, the system aggregates related messages exchanged between a given customer and the CRM team into a conversation. The system includes a linguistic framework for the analysis of conversations (based on the two linguistic theories of dialog acts and conversation analysis) to label the nature of the messages in a conversation or thread.

Abstract translation: 本公开提供了一种系统，其允许在社交媒体上实时和在线地监视客户和CRM团队之间的交换。 客户和CRM团队在通过社交媒体交换的所有消息进行爬行时，将给定客户和CRM团队之间交换的相关消息合并成一个对话。 该系统包括用于分析会话（基于对话行为和对话分析的两种语言学理论）的语言框架，以标记会话或线程中的消息的性质。