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

In recent years, information technology and internet technology greatly promote the development of economy. E-commerce as an efficient new commercial model becomes more and more popular. It brings people not only convenience but also information overload.This situation makes it hard for consumers to find the products and services they want, especially for the consumers of B2 C E-commerce. On the other hand, enterprises are eager to solve such problem as how to improve attraction of their web sites, efficiently to raise the level of customer service and finally to gain more business profits. It rapidly developed e-commerce industry in the computers, networks, databases and other IT driven. E-commerce refers primarily to the use of computer networks traders parties engaged in the business of information management and commodity trading ? business transactions such activities in accordance with certain trading rules or standards. In the case of the rapid development of Internet technology, e-commerce has become a mainstream direction of future business development. In the case of e-commerce development continue to be the development of social enterprises and individuals ? actually get the benefits, mankind has now entered the information society.Recommendation system of E-commerce is the efficient method to solve this problem. The instrinsic link between the commodities or the commodity and customer can be found using data mining technology. It is valuable to the recommendation system of E-commerce. The current research on e-commerce system is still in continuous improvement, the ultimate goal is to achieve customer in the shopping process more convenient, from which companies can obtain customer information and customer reviews some data on the product, and uses that information as a data obtained on the basis of new knowledge.In this paper, we studies the application of data mining in the recommendation system of E-commerce.The main works of this paper are as follows: In the existing e-commerce system, there is massive valuable historical data accumulated.In the recommendation system of E-commerce, the data in the original system is integrated into the data warehouse.Considering the characteristics of e-commerce and recommendation technology, we choose the association rules algorithm to mine rules. A method of recommendation using association rules-based mining is proposed. After the analysis of main association rules algorithms, the FP-Growth algorithm is choosen to mine association rules in the E-commerce system. It is proved that the algorithm is valuable applied in the recommendation system.This paper proposes a recommendation system based on the original E-commerce system using the data warehouse and data mining technology. And it is proved valuable by experiments that the system can attract customers, raise the level of service and business benefit.This paper studies the application of data mining in the recommendation system of E-commerce.A new solution is provided to other researchers.