Personalized Recommendation System in E-commerce Based on Case-based Reasoning
Zhao Zhang, Guoping Xia, Xuefeng Li · Jisuanji gongcheng · 2007
【Abstract】Data input excessively dependes on the customer’s evaluation of the personalization recommendation system in E-commerce. For resolving the problem, this paper proposes a framework for the recommendation system by considering the steps of case-base reasoning method, analyzes the key techniques of framework. An example is given to describe the application process of the CBR approach in the personalized recommendation system. The framework improves the effectiveness and accuracy of the recommendation system. 【Key words】personalized recommendation system in E-commerce; case-based reasoning; nearest neighbor method