Funder
National Key R&D Program of China
National Natural Science Foundation of China
European Union’s Horizon 2020 research and innovation programme
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference60 articles.
1. Matrix factorization techniques for recommender systems;Koren;IEEE Comput.,2009
2. H. Yu, C. Hsieh, S. Si, I.S. Dhillon, Scalable coordinate descent approaches to parallel matrix factorization for recommender systems, in: 12th IEEE International Conference on Data Mining, ICDM, 2012, pp. 765–774.
3. Y. Zhou, D.M. Wilkinson, R. Schreiber, R. Pan, Large-scale parallel collaborative filtering for the netflix prize, in: Algorithmic Aspects in Information and Management, 4th International Conference, AAIM, 2008, pp. 337–348.
4. Scalable collaborative filtering approaches for large recommender systems;Takács;J. Mach. Learn. Res.,2009
5. A non negative matrix factorization for collaborative filtering recommender systems based on a bayesian probabilistic model;Hernando;Knowl.-Based Syst.,2016
Cited by
13 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