Using Fuzzy Rating Information for Collaborative Filtering-based Recommender Systems

A novel similarity measure for user-based collaborative filtering which is a most popular technique for recommender systems is proposed and it is found that it demonstrates superiority over previous relevant measures in terms of major quality metrics.