User Similarity Measure Method Based on the Comparison Model of Psychology

According to exploiting the users´ preference for each attribute, we can get the similarity of users´ interest. In this way, the similarity can be combined with the collaborative filtering algorithm which can get the users´ interests from users´ assessment. A new user similarity measure based on comparison model of psychology is proposed, which applies psychology theory to improve collaborative filtering, and the experimental results prove that the proposed model improves performance of collaborative filtering algorithm.