User value classification method and device based on clustering analysis

Abstract

The invention discloses a user value classification method and device based on clustering analysis, and relates to the technical field of computers. The method specifically comprises the steps of determining an original feature vector of each user according to an index value under each index feature of the user; conducting factor analysis on the original feature vector of each user, and regarding public factors of which the factor scores satisfies a set rule as factor variables; determining a comprehensive feature vector of each user based on the value of each user under the factor variables; conducting clustering analysis on the comprehensive feature vector of each user to determine the classification of each user. According to the embodiment, index features can be prevented from being excessively complicated, the number of factors for clustering analysis is lowered, and the time cost and the database resource consumption amount for user value classification are reduced; the situation that the weight is given to each index feature according to experience can be avoided, the weight allocation accuracy is improved, and the accuracy of user value classification is then improved; the objectivity and the accuracy for user value grouping can be improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a user value classification method and device based on cluster analysis. Background technique [0002] With the continuous development of the concept of relationship marketing, more and more enterprises pay attention to customer relationship management, and the business focus of enterprises has shifted from products to customers. How to effectively manage a huge customer base has become an unavoidable problem for many enterprises. Effectively identifying customer value and characteristics, and implementing targeted management on this basis, is the focus and key issue of customer relationship management. Customers are the basis for the survival and development of an enterprise. With the improvement of customer relationship management, acquiring and maintaining high-quality customers has become the focus of attention of enterprises, and therefore has become a focus of ma...

AI Technical Summary

Problems solved by technology

[0004] The existing user value model is too cumbersome in the selection of index features, so that each processing consumes a lot of time and database resources;

[0005] Assign weights to each indicator feature based on experience, and it is easy to cause inac

Images