User-based collaborative filtering based on improved similarity algorithm

With the fast development of World Wide Wed, Web-based applications and services should allow user to get the right personalized information quickly and effectively. Collaborative Filtering acts a very important role in web service personalization and Recommender System. In this paper, Stability Degree was proposed to improve the accuracy of User based collaboration filtering, three kinds of Stability Degree were introduced into similarity computation, and the results show that the prediction accuracy can be improved by 11 percents, and MAE can be reduced faster than classic method.