Research On The Classification And Corss-selling Of E-business Customers Based On RST Correlation Rules

With the rapid development of the "age of electronic commerce",electronic commerce plays a more and more important role in people's lives.In just a few years,the development of e-commerce can be described as rapid.But how to classify the customers scientifically and exploit the connection between the customer group and specific products is a problem that every ecommerce enterprise faces.To this end,this paper tries to use rough set classification to get the results of customer classification,and then excavate useful knowledge of user interest from a large amount of large data,and connect specific products with specific customer groups.Find the necessary connection between its behavior and purchase decision,so as to locate the potential customer group according to such connection and develop the strategy of cross-selling such group,so as to realize the enterprise's greater profit.This paper collects a large amount of data for the analysis of e-commerce customers,uses the rough set principle to perform attribute reduction and customer classification,and then collects a certain amount of order information.Probing into the internal laws and customs of consumers.Finally,for cross-selling,the specific application of e-commerce enterprises is mainly reflected in this part of the article.According to the existing orders combined with the association rules method,the related commodities are first obtained,and the types of customers are classified according to the classification rules.In this paper,detailed measures are given for the enterprises to carry out deep excavation and related sales of customers,and detailed cases are cited to provide reference for the majority of e-commerce enterprises.