Hybrid Recommendation Method Based on Tag and Collaborative Filtering
Wang Jin-hui · Jisuanji gongcheng · 2011
Aiming at the problem of sparse user ratings facing tradition recommendation system,this paper proposes a hybrid recommendation method based on Tag and collaborative filtering(TAG-CF) to provide a solution to this problem.The neighbors set for the target item can be gained based on tagging information.It uses item-based collaborative filtering to generate the predictive ratings.By filing these predictive ratings into the sparse user-item rating matrix,it constructs a full pseudo ratings matrix.It computes the predictions based on the pseudo ratings matrix by using user-based collaborative filtering.Experimental results show that the proposed method performs significantly better than the traditional CF method.