Abstract
The traditional customer satisfaction evaluation adopts the method of questionnaire survey, small data samples are subjective, which can not truly reflect the level of customer satisfaction. Using big data analysis technology, combined with questionnaire statistical analysis, is a useful attempt. On the basis of previous research results, this paper innovates and integrates, designs a set of customer satisfaction evaluation and management system based on big data, gives the technical architecture and function map of the system, and describes the big data mining analysis method. In the follow-up research, the system will be more in-depth research and application development.
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Cheng, L., Cao, J., Gu, Z. (2021). Design of Customer Satisfaction Evaluation System Based on Big Data. In: Salvendy, G., Wei, J. (eds) Design, Operation and Evaluation of Mobile Communications. HCII 2021. Lecture Notes in Computer Science(), vol 12796. Springer, Cham. https://doi.org/10.1007/978-3-030-77025-9_1
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DOI: https://doi.org/10.1007/978-3-030-77025-9_1
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