Collaborative Filtering Algorithm Based on Sliding Window
- Resource Type
- Conference
- Authors
- Liu, Yukang; Yu, Xuejun
- Source
- 2022 IEEE 12th International Conference on Electronics Information and Emergency Communication (ICEIEC) Electronics Information and Emergency Communication (ICEIEC), 2022 IEEE 12th International Conference on. :62-66 Jul, 2022
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Collaborative filtering
Conferences
Quality of service
Filtering algorithms
Prediction algorithms
Information filters
Cloud service credibility
QoS prediction
collaborative filtering
sliding window
- Language
- ISSN
- 2377-844X
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