基于隐因子分解机的上下文感知的QoS预测算法研究

Quality of Service, QoS is kind of network providing better service capability for network communication with various basic techonologies. Context information is exactly important to QoS prediction. Existing works model QoS prediction with collaborative filtering or matrix Factorization, which can not incorporate context information into the modeling process. Although context-aware QoS prediction with clustering can accurately describe users' requirements in specific context environment, it seldom excavate internal and implicit relationship between users and web services. In this paper, we propose a context-aware QoS prediction model of Web services based on Factorization Machine. Compare to existing works, Factorization Machine models context information directly, and incoporate the cross relationship between features into modeling calculation. Experiment results demonstrate effectiveness of our models.