To improve the efficiency of Web service QoS prediction,providing users with high-quality Web services, a collaborative filtering method fused matrix factorization and nearest neighbor rule is proposed. Firstly, this method uses the location information of us- ers and services to select neighborhoods of user and service, to overcome the inaccurate or insufficient use of location information in traditional QoS prediction algorithms. Then the neighborhood information is combined into the matrix factorization framework to im- prove the lack use of local information in matrix factorization techniq...
