Personalized Shopping Model in E-Commerce

The prosperity of electronic commerce has changed the traditional trading behaviors and more and more people are willing to conduct Internet shopping. This paper proposes a personalized shopping model, which makes use of data mining and collaborative filtering. The structure of shopping model and key technologies of realizing user interest module, personalized recommendation algorithm module are introduced in the paper. Finally, an experimental prototype system for used book shopping is developed for demonstrating the proposed shopping model. The conclusions show that the system performs efficiently and can help customers save enormous time for Internet shopping.