Abstract
With the continuous upgrading of mobile Internet technology and the continuous innovation of business models, telecom operators gradually carry out Internet transformation. With the in-depth reform of Internet-based operators, new challenges are presented to the window customer service directly facing the end users. The service awareness related to the diversity of users’ demands, the differentiation of demands information, and the timeliness and accuracy of service requirements has been significantly improved. However, it is necessary to pay attention to customer service management, keep up with the pace of customer demands, improve internal operation management, and meet the improvement of service quality. In this paper, from the perspective of the problems and challenges faced by the development of customer service business, based on data mining technology, using speech recognition engine and text processing technology, combined with the pain points and demands faced by the current customer service business, the intelligent customer service operation management business application based on data mining is proposed. This will support the internal operation management to improve quality and efficiency, focus on customer service, and provide hot information discovery. The intelligent customer service system is constructed through data mining comprehensive model algorithm thematic analysis, so as to satisfy customers’ aspirations, focus on hot issues and demands, better serve customers, and improve customer service quality.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Soelberg, E. L., Berry, M. J.: System and method for using cellular network components to derive traffic information. US Patent 8,494,496,(2013)
Ghosh, D.: Apparatus, method, and computer program product for extracting insights from bill presentment data. US Patent App. 14/496,572, (2016)
Triola, R. C.: Method, system, apparatus, and program for displaying targeted advertisements. US Patent App. 13/452,706, (2012)
Gebremeskel, G.B., Yi, C., Wang, C.L., He, Z.S.: Critical analysis of smart environment sensor data behavior pattern based on sequential data mining techniques. Ind. Manag. Data Syst. 115(6), 1151–1178 (2015)
Chuan, W., Suping, P.: The establishment of a trap information system based on GIS. Comput. Geosci. 29(7), 937–940 (2003)
Zhang, L., Zhao, H., Li, Q.S., Wang, J., Tan, X.: Establishment of paper assessment system based on academic disciplinary benchmarks. Scientometrics 84(2), 421–429 (2010)
Wang, C., Peng, S.P.: The establishment of a trap information system based on GIS. Comput. Geosci. 29(7), 937–940 (2003)
Min, B.W., Cho, H.J.: Improvement of information service system for smart library based on bigdata. Development 128(20), 4057–4067 (2013)
Karger, T., Karger, S.: Some thoughts from your publisher. Pharmacology 65(1), 1–1 (2002)
Schallehn, H., Seuring, S., Strähle, J., Freise, M.: Customer experience creation for after-use products: a product-service systems-based review. J. Cleaner Prod. 210(FEB.10), 929–944 (2019)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ren, Q., Ma, W., Yang, L., Yan, L. (2021). Establishment of Smart Customer Service System Based on Data Mining. In: Jain, L.C., Kountchev, R., Tai, Y. (eds) 3D Imaging Technologies—Multidimensional Signal Processing and Deep Learning. Smart Innovation, Systems and Technologies, vol 236. Springer, Singapore. https://doi.org/10.1007/978-981-16-3180-1_19
Download citation
DOI: https://doi.org/10.1007/978-981-16-3180-1_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-3179-5
Online ISBN: 978-981-16-3180-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)