Framework for smoothing-based collaborative filtering recommender system
Ingyu Lee · 2012
Picking up a proper product or service is getting more difficult with the increasing number of available products and services on E-business era. Consequently, many companies provide recommending services and many researches have been done in the area. In this paper, we are proposing a framework for smoothing-based collaborative filtering recommender system considering user preferences and product similarities. Primitive experimental results show that the proposed algorithm can provide a better recommendation with user and product information.