The Application Design of Personalized Recommendation System Based on Data Mining to E-Commerce
Li Jie Sun · Advanced materials research · 2014
Personalized recommendation application system of product and service is a valid tool to boost sales in both online and offline business. It has been reported and has been our experience that algorithmic –modeling phase occupies at most 20% of the effort in a data–mining project. The other 80% is how to put the “model” into practical application. The implementation process of personalized recommendation system based on data mining to E-commerce was discussed in this paper. We also proposed architecture of the system, described the application of technology, designed some features of the function modules.