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Identifying unreported issues through customer service interactions and website analytics

机译:通过客户服务互动和网站分析识别未报告的问题

摘要

Identifying unreported issues in computing applications based on customer service interactions and website analytics. A computing system may receive communication data between a CSP and a user. The system may analyze the communication data using an NLP algorithm to identify a plurality of concepts in the communication data. The system may identify, based on the concepts, a target application associated with the communications between the CSP and the user. The system may receive analytics data from a web server hosting the target application and identify a feature of the target application that is not functioning. The system may then assign a priority to the feature of the target application that is not functioning based on a type of the feature and the received analytics data and generate a service issue record for the feature of the target application that is not functioning and the assigned priority.
机译:根据客户服务交互和网站分析,识别计算应用程序中未报告的问题。计算系统可以接收CSP与用户之间的通信数据。该系统可以使用NLP算法来分析通信数据以识别通信数据中的多个概念。系统可以基于这些概念来识别与CSP与用户之间的通信相关联的目标应用程序。系统可以从托管目标应用程序的Web服务器接收分析数据,并标识目标应用程序无法正常运行的功能。然后,系统可以基于特征的类型和接收到的分析数据,为未运行的目标应用程序的功能分配优先级,并为未运行的目标应用程序的功能生成服务发布记录,并进行分配优先。

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