Funder
National Natural Science Foundation of China
Natural Science Foundation of Anhui Province of China
Shanghai Innovation Action Plan Project, China
2017 Research Projects of Shanghai Science and Technology Commission, China
Reference52 articles.
1. L. Shao, J. Zhang, Y. Wei, J. Zhao, B. Xie, H. Mei, Personalized QoS prediction for web services via collaborative filtering, in: IEEE International Conference on Web Services, ICWS, Salt Lake City, USA, July 9–13, 2007, pp. 439–446.
2. J.S. Breese, D. Heckerman, C.M. Kadie, Empirical analysis of predictive algorithms for collaborative filtering, in: Uncertainty in Artificial Intelligence, UAI, San Francisco, CA, USA, July 24–26, 1998, pp. 43–52.
3. H. Ma, I. King, M.R. Lyu, Effective missing data prediction for collaborative filtering, in: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Amsterdam, The Netherlands, July 23–27, 2007, pp. 39–46.
4. An efficient similarity measure for user-based collaborative filtering recommender systems inspired by the physical resonance principle;Tan;IEEE Access,2017
5. QoS recommendation in cloud services;Zheng;IEEE Access,2017
Cited by
25 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献