Collaborative Filtering Algorithm Based on Sliding Window

Due to the emergence of more and more untrustworthy cloud service providers. How to avoid these untrustworthy cloud services when choosing cloud services has become an urgent concern of researchers. QoS as a criterion for evaluating a quality of service is often used as a basis for selection. Collaborative Filtering is a common algorithm to predict QoS in existing research. However, the traditional collaborative filtering covers some untrusted data in the prediction, which will bring deviation to the prediction results. In this paper, sliding window is introduced on the basis of the collaborative filtering to deal with untrusted data to improve the accuracy of prediction