A Personalized QoS Prediction Approach for CPS Service Recommendation Based on Reputation and Location-Aware Collaborative Filtering

• Published in: Sensors (Basel, Switzerland) Vol. 18; no. 5; p. 1556
• Main Authors: Kuang, Li, Yu, Long, Huang, Lan, Wang, Yin, Ma, Pengju, Li, Chuanbin, Zhu, Yujia
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 14.05.2018; MDPI
• Subjects: Cold starts; Collaboration; Cyber-physical systems; Dirichlet problem; Filtration; Reputations; cyber-physical systems; QoS prediction; collaborative filtering; user reputation; data sparsity; geographical neighbors

With the rapid development of cyber-physical systems (CPS), building cyber-physical systems with high quality of service (QoS) has become an urgent requirement in both academia and industry. During the procedure of building Cyber-physical systems, it has been found that a large number of functionall...