Research on application of item-based collaborative filtering in recommender systems
Xia Wang · Jisuanji gongcheng yu sheji · 2007
It analyzes application of item-based collaborative filtering in E-commerce recommender systems and the problems which item-based collaborative filtering is facing when it is applied in recommender systems. An improved method of item-based collaborative filtering algorithm is proposed. It is theoretically detailed analyzed and proved its feasibility. Then the experimental results that the new method is implemented with the benchmark experimental data set are given,the performance between the new method and the old one is compared and analyzed and the new method is proved valid. Finally,the research is summarized,some defects and the directions that will be further studied in the future.