Collaborative Filtering Recommendation Algorithm Based on Factor of Trust

Traditional collaborative filtering algorithm is a weighted average prediction algorithm based on nearest neighbors' ratings.This kind of predictive methodology only considers similarity between users while trust is also an important effective parameter in real life.This paper suggests that the traditional emphasis on user similarity may be overstated and there are additional factors having an important role to play in guiding recommendations,and trustworthiness of users must be an important consideration.It proposes computational model of trust and then a predictive algorithm based on factor of it.The experimental results prove the validity and superiority of the proposed algorithm.