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A Research on Improvement of Customer Service Systems in Mobile Telecommunication Enterprises: a Knowledge Classification Perspective

机译:基于知识分类的移动通信企业客户服务系统改进研究

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This paper focuses on the application of the text clustering technology on the customer service records in mobile telecommunication enterprises. The classification of the customer service records is condensed from 9 to 7 through text converting and data clustering. Based on the new classification of customer service records, a knowledge-based customer service system is established. The establishment of the system uses the theories and practices of case based reasoning (CBR) for reference to improve the present system, and puts more emphasis on the significance of customer knowledge classification in the operation of the system. The conclusions of this paper provide guide for mobile telecommunication enterprises to improve customers'' satisfaction by the use of new system
机译:本文重点研究文本聚类技术在移动电信企业客户服务记录中的应用。通过文本转换和数据聚类,客户服务记录的分类从9压缩为7。基于新的客户服务记录分类,建立了一个基于知识的客户服务系统。系统的建立借鉴了基于案例的推理(CBR)的理论和实践作为对本系统的改进,并更加强调了客户知识分类在系统运行中的重要性。本文的结论为移动通信企业通过使用新系统提高客户满意度提供了指导。

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