Application And Research Of Electronic Commerce Recommendation System Based On Web Mining

With the popularization and rapid development of Internet, E-commerce is popular with its unique advantages. It provides people with more and more goods and choice space, and changes people's lifestyles. However, many new problems also appear. Users can not find right goods, and the dealers lost contact with customers, which lead to not being able to meet customers' need effectively and to improve customers' loyalty on the web site. Under this background, Electronic commerce Recommendation System came into being. This paper first stated the significance of Electronic commerce Recommendation System, the status quo at home and abroad as well as basic theory. Based on this, it studied and designed the model of Electronic commerce Recommendation System based on Web Mining. It analyzed the function, role and communication of four modules model. In addition, it researched on the application and optimization of association rules in the system. Finally, it analyzed the improved algorithm association rules algorithm to verify its effectiveness.