By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Keyi Wang ; Sch. of Manage., Dalian Univ. of Technol. ; Liyun Qi ; Qi Zhong

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

Published in:

Service Operations and Logistics, and Informatics, 2006. SOLI '06. IEEE International Conference on

Date of Conference:

21-23 June 2006