Similarity measurement based on user interest in collaborative filtering

Abstract

In the recommendation algorithm,similarity measurement is fundamental to the recommendatory effectiveness.Through analyzing the problems of traditional similarity measurement in recommendation system,a new interest-based similarity measure approach was proposed,which used user degree of interest in different kinds of item with rating of user to calculate similarity score between two users,so that could overcome the drawback of only using rating of user to calculate similarity on traditional similarity measurement and overcome effect of extreme sparsity of user rating data.The experimental results show that this method can effectively solve the shortcomings of traditional similarity method,and provide better recommendation results than traditional similarity measurement.