MVC-based Incremental Reengineering Approach
Chunxiao Xing · Journal of Chinese Computer Systems · 2008
Collaborative filtering is the most successful personalized recommendation technology,and is extensively used in many fields.The predict value produced by collaborative filtering algorithm is always a decimal fraction,and needs to be judged as an integer correspond to some grade.However,existing collaborative filtering algorithms round predict value and get the judgment value simply without consideration of user's grade trend.To solve this problem,the paper describes a judgment algorithm for predict value based on user's grade trend.The algorithm considers both the distance between predict value and grade value,and user's grade trend,and then makes the decision.Experimental results show that our proposed algorithm outperforms traditional collaborative filtering algorithm.