Personalized E-commerce Website Construction Based on Data Mining

Abstract

Abstract With the development of supply chain and logistics, e-commerce system can provide a growing variety of goods and quantity. The traditional website-centered retrieval business model has become a bottleneck restricting the value-added of e-commerce enterprises. Data mining technology enables people to finally understand the real value of data, that is, the information and knowledge contained in the data. For e-commerce enterprises, rich data sources and reliable data collected automatically make it easy to meet the necessary factors of data mining. Web server logs contain a large number of records of users accessing e-commerce systems, and data mining technology is used to process and analyze the data. Create a convenient, fast and personalized e-commerce website to provide a reliable analysis basis for the market positioning, strategy improvement, customer relationship improvement and service quality improvement, so as to improve the competition of enterprises in the market. Force to create better benefits. Through data mining, the analysis of user access behavior, frequency, content, etc., can extract the description characteristics of each user, so as to obtain knowledge about the behavior and manner of group user access.