Research on The Anonymous Customer Segmentation Model of Telecom

According to the ministry of industry and information technology's 2018 statistical bulletin on the communications industry, the net increase of mobile phone users reached 149 million in the year, bringing the total number to 1.57 billion. How to classify customers according to their value and put forward corresponding business strategies for different value customers has become one of the key issues in the field of telecommunications research. In order to overcome the shortcomings of traditional manual classification, this paper adopts k-means clustering algorithm and SVD algorithm to conduct customer clustering in combination with operator data, and achieve the best classification of customers in the clustering process, and analyzes the behavioral characteristics of various groups. The results show that the algorithm can effectively improve the classification efficiency and accuracy of telecom users and reduce the errors caused by traditional classification. Finally, the conclusion and further work are given.