公开(公告)号：US09342630B2

公开(公告)日：2016-05-17

申请号：US13716045

申请日：2012-12-14

Applicant: INFOSYS LIMITED

Inventor： Jai Ganesh ,  Gopakumar Madhuragil Gopalakrishnan ,  Ajay Kolhatkar ,  Shaurabh Bharti ,  Shrirang Prakash Sahasrabudhe ,  Nishtha Srivastava ,  Vijaya Bhaskar Peddinti ,  Tarun Prakash Sharma ,  Mukund Raj

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

CPC classification number: G06F17/30994 ,  G06F17/30864 ,  G06Q30/02 ,  G06Q50/01

Abstract: A system and method for monitoring and analyzing social network databases to determine actual key influencers is disclosed. Inputs are received from the user, which includes search keyword(s), time, date, language, area and country. Content corresponding to the user inputs is fetched from the social network databases. The fetched content is analyzed to identify a list of probable key influencers. Among the probable key influencers, actual key influencers are determined based on parameters associated with the probable key influencer. Reports may be generated based on the actual key influencers and the content they posted on the social network.

Abstract translation: 公开了一种用于监测和分析社交网络数据库以确定实际关键影响因素的系统和方法。 从用户那里接收到输入，其中包括搜索关键字，时间，日期，语言，区域和国家。 从社交网络数据库中获取与用户输入相对应的内容。 分析所获取的内容以识别可能的关键影响因素的列表。 在可能的关键影响因素中，实际关键影响因素是根据与可能的关键影响因素相关的参数确定的。 可以根据实际的关键影响因素及其在社交网络上发布的内容生成报告。

公开(公告)号：US20130166540A1

公开(公告)日：2013-06-27

申请号：US13716045

申请日：2012-12-14

Applicant: INFOSYS LIMITED

Inventor： Jai Ganesh ,  Gopakumar Madhuragil Gopalakrishnan ,  Ajay Kolhatkar ,  Shaurabh Bharti ,  Shrirang Prakash Sahasrabudhe ,  Nishtha Srivastava ,  Vijaya Bhaskar Peddinti ,  Tarun Prakash Sharma ,  Mukund Raj

IPC: G06F17/30

CPC classification number: G06F17/30994 ,  G06F17/30864 ,  G06Q30/02 ,  G06Q50/01

Abstract: A system and method for monitoring and analyzing social network databases to determine actual key influencers is disclosed. Inputs are received from the user, which includes search keyword(s), time, date, language, area and country. Content corresponding to the user inputs is fetched from the social network databases. The fetched content is analyzed to identify a list of probable key influencers. Among the probable key influencers, actual key influencers are determined based on parameters associated with the probable key influencer. Reports may be generated based on the actual key influencers and the content they posted on the social network.

Abstract translation: 公开了一种用于监测和分析社交网络数据库以确定实际关键影响因素的系统和方法。 从用户那里接收到输入，其中包括搜索关键字，时间，日期，语言，区域和国家。 从社交网络数据库中获取与用户输入相对应的内容。 分析所获取的内容以识别可能的关键影响因素的列表。 在可能的关键影响因素中，实际关键影响因素是根据与可能的关键影响因素相关的参数确定的。 可以根据实际的关键影响因素及其在社交网络上发布的内容生成报告。

公开(公告)号：US20140379468A1

公开(公告)日：2014-12-25

申请号：US14220987

申请日：2014-03-20

Applicant: Infosys Limited

Inventor： Jai Ganesh ,  Saikat Chatterjee ,  Tarun Prakash Sharma ,  Manmohan Nair

IPC: G06Q30/06 ,  G06Q30/02

CPC classification number: G06Q30/0623 ,  G06Q30/0643

Abstract: The present invention provides a method and system for augmented reality shopping. A visual code of the product can be scanned by a portable device. A set of information can be extracted by a web server, whereby the set of information can include a set of providers, offering the product within a location of the portable device. A provider of the product can be selected by a comparing module, where the provider offers a best price of the product. The product as offered by the selected provider can be added to a shopping cart.

Abstract translation: 本发明提供了一种增强现实购物的方法和系统。 可以通过便携式设备扫描产品的视觉代码。 可以由web服务器提取一组信息，由此该组信息可以包括一组提供商，在便携式设备的位置内提供产品。 产品的提供商可以通过比较模块来选择，供应商提供产品的最佳价格。 所选提供商提供的产品可以添加到购物车。