Design And Implementation Of Electronic Commerce Recommendation System Based On Data Mining

Since entering the 21st century,e-commerce has been widely spread and development in the whole world,for the thousands of network consumers offer unlimited choice of shopping,changed our original way of life and shopping habits.However,under this background,the development of electronic commerce faces such a block is lack of personalized services.Businesses failed to understand customers'personalized needs can provide users with the same commodity interface;Consumers in the face of mass goods need through multiple search and browse to find goods to satisfy his needs.This embarrassing situation is not conducive to healthy and stable development of e-commerce,so the lack of personalized service become a new problem restricting the development of electronic commerce.Under this kind of contradiction,e-commerce recommendation system.E-commerce recommendation system to apply data mining technology and electronic commerce perfect together in order to realize the personalized needs of e-commerce,from large,incomplete data to identify effective,the latent information process.Electronic commerce recommendation system based on data mining can vary from person to person recommended commodity information,overcomes the drawback of lack of personalized service,in the long run can meet the needs of the development trend of e-commerce in the future.In this paper,motivational research electronic commerce recommendation system based on data mining.First,the overview of data mining and Web data mining technology,on the basis of derivation of electronic commerce development present situation,and to establish the requirements of e-commerce recommendation system.Another recommendation system based on Web data mining model is put forward and describes in detail the role of each module in the model,and how to coordinate between each other to complete the recommendation function.After from many chose the association rules algorithm in data mining algorithms do focus analysis,introduces the basic ideas and the lack of improvement,to improve the accuracy of recommendation.Is given based on association rule data mining prototype system test,verify the validity of the recommendation system algorithm,and explain the results.