公开(公告)号：US20150088593A1

公开(公告)日：2015-03-26

申请号：US14490068

申请日：2014-09-18

Applicant: Infosys Limited

Inventor： Balaji Raghunathan ,  Sivaram Thangam Varghese ,  Prasanna Nagesh Teli

IPC: G06Q10/06 ,  G06Q50/00 ,  H04L12/18

CPC classification number: G06Q10/0633 ,  G06Q50/01 ,  H04L51/32

Abstract: A computer implemented method for customer response management the method comprising the step of collecting information from social networking sites wherein the information is at least a post or comment for at least a brand or product; identifying customer among pluralities of authors of the information on the social networking sites; categorizing the information into at least a complaint, lead, service request, information request or feedback; analyzing the categorized information; prioritizing the analyzed information; and routing the prioritized information to at least a concerned personnel or a work flow of the Customer Relationship Management (CRM) system for response. The method further comprising identifying the influence of the customer wherein the influence is at least a global influence or local influence. The identification of customer is done by fetching information from at least the Customer Relationship Management (CRM) system or social profile aggregator service.

Abstract translation: 一种用于客户响应管理的计算机实现方法，所述方法包括从社交网站收集信息的步骤，其中所述信息至少为至少品牌或产品的帖子或评论; 在社交网站上识别多个作者信息中的客户; 将信息分类为至少投诉，牵头，服务请求，信息请求或反馈; 分析分类信息; 分析信息的优先级; 并将优先级信息路由到至少有关人员或客户关系管理（CRM）系统的工作流程以进行响应。 该方法还包括识别客户的影响，其中影响至少是全球影响或局部影响。 客户的识别是通过从至少客户关系管理（CRM）系统或社交资料汇总服务获取信息来实现的。

公开(公告)号：US09514496B2

公开(公告)日：2016-12-06

申请号：US14199831

申请日：2014-03-06

Applicant: Infosys Limited

Inventor： Swaminathan Natarajan ,  Krishnamurthy Sai Deepak ,  Prasanna Nagesh Teli ,  Venugopal Subbarao ,  Radha Krishna Pisipati

IPC: G06F17/30 ,  G06Q50/00 ,  G06Q10/10 ,  G06Q30/02

CPC classification number: G06Q50/01 ,  G06Q10/101 ,  G06Q10/103 ,  G06Q30/0204 ,  G06Q30/0278

Abstract: Systems and methods for improved management of sentiments over conventional approaches are disclosed. Supervised approach is used to augment the rule-based approach for classification. Initially, sentiment evaluation is performed by the system using a rule based approach and an interface is provided to the user to give feedback on the correctness of evaluated sentiment. This feedback is used by the sentiment evaluation system to update the set of rule-based and also apply the supervised approach to train the classifier for evaluating complex posts.

Abstract translation: 公开了改善传统方法管理的系统和方法。 监督方法用于增加基于规则的分类方法。 最初，使用基于规则的方法由系统执行情绪评估，并且向用户提供接口以给出评估情绪的正确性的反馈。 情绪评估系统使用这种反馈来更新基于规则的集合，并且还应用监督方法来训练分类器来评估复杂的职位。

公开(公告)号：US20140289253A1

公开(公告)日：2014-09-25

申请号：US14199831

申请日：2014-03-06

Applicant: Infosys Limited

Inventor： Swaminathan Natarajan ,  Krishnamurthy Sai Deepak ,  Prasanna Nagesh Teli ,  Venugopal Subbarao ,  Radha Krishna Pisipati

IPC: G06F17/30

CPC classification number: G06Q50/01 ,  G06Q10/101 ,  G06Q10/103 ,  G06Q30/0204 ,  G06Q30/0278

Abstract: Systems and methods for improved management of sentiments over conventional approaches are disclosed. Supervised approach is used to augment the rule-based approach for classification. Initially, sentiment evaluation is performed by the system using a rule based approach and an interface is provided to the user to give feedback on the correctness of evaluated sentiment. This feedback is used by the sentiment evaluation system to update the set of rule-based and also apply the supervised approach to train the classifier for evaluating complex posts.

Abstract translation: 公开了改善传统方法管理的系统和方法。 监督方法用于增加基于规则的分类方法。 最初，使用基于规则的方法由系统执行情绪评估，并且向用户提供接口以给出评估情绪的正确性的反馈。 情绪评估系统使用这种反馈来更新基于规则的集合，并且还应用监督方法来训练分类器来评估复杂的职位。

公开(公告)号：US20140006153A1

公开(公告)日：2014-01-02

申请号：US13929768

申请日：2013-06-27

Applicant: Infosys Limited

Inventor： Sivaram Vargheese Thangam ,  Sunil Arora ,  Prasanna Nagesh Teli ,  Radha Krishna Pisipati ,  Swaminathan Natarajan ,  Venugopal Subbarao

IPC: G06Q50/00 ,  G06Q30/02

CPC classification number: G06Q50/01 ,  G06Q30/0255 ,  G06Q30/0271

Abstract: Systems and methods for leveraging social data by entities to acquire new customers through social channels are disclosed. Offers are personalized as these are transmitted based on the desire of the prospect, which may be expressed through network activities. The interest profile of members of social network communities is determined and offers are propagated through conduits having a high influence score. Implementation of these engines is disclosed. If there are multiple people connected to a conduit, the prospect whose degree of social interaction is high may be considered for making the offer available to the prospect.

Abstract translation: 披露了通过实体利用社会数据通过社会渠道获取新客户的系统和方法。 优惠是个性化的，因为这些根据潜在客户的愿望进行传播，这可能通过网络活动来表达。 确定社会网络社区成员的兴趣情况，并通过具有较高影响分数的管道传播优惠。 披露这些引擎的实施。 如果有多个人连接到渠道，那么社会互动程度很高的潜在客户可能会考虑向潜在客户提供报价。

公开(公告)号：US20180075357A1

公开(公告)日：2018-03-15

申请号：US15473285

申请日：2017-03-29

Applicant: Infosys Limited

Inventor： Ganapathy Subramanian ,  Sudipto Shankar Dasgupta ,  Kiran Kumar Kaipa ,  Prasanna Nagesh Teli

IPC: G06N5/04 ,  G06N99/00

CPC classification number: G06N20/00

Abstract: A method and/or system for heterogeneous predictive models generation based on sampling of big data is disclosed. The method involves receiving a dataset and a target column associated with the dataset at a data processing engine from a distributed data warehouse. One or more columns associated with the dataset are classified at the data processing engine as a categorical column or a continuous column. One or more parameters in the dataset are identified to extract a sample data from the dataset. The sample data from the dataset is extracted based on the identified one or more parameters. One or more rank ordered machine learning algorithms are recommended to one or more users, to generate one or more predictive models from the sample data. One or more heterogeneous predictive models are generated based on the rank ordered algorithm through one or more iterations.

公开(公告)号：US09824321B2

公开(公告)日：2017-11-21

申请号：US14490068

申请日：2014-09-18

Applicant: Infosys Limited

Inventor： Balaji Raghunathan ,  Sivaram Thangam Varghese ,  Prasanna Nagesh Teli

IPC: G06Q10/00 ,  G06Q10/06 ,  G06Q50/00 ,  H04L12/58

CPC classification number: G06Q10/0633 ,  G06Q50/01 ,  H04L51/32

Abstract: A computer implemented method for customer response management the method comprising the step of collecting information from social networking sites wherein the information is at least a post or comment for at least a brand or product; identifying customer among pluralities of authors of the information on the social networking sites; categorizing the information into at least a complaint, lead, service request, information request or feedback; analyzing the categorized information; prioritizing the analyzed information; and routing the prioritized information to at least a concerned personnel or a work flow of the Customer Relationship Management (CRM) system for response. The method further comprising identifying the influence of the customer wherein the influence is at least a global influence or local influence. The identification of customer is done by fetching information from at least the Customer Relationship Management (CRM) system or social profile aggregator service.