Author:
Liang Xijun,Xia Zhonghang,Pang Liping,Zhang Liwei,Zhang Hongwei
Funder
National Natural Science Foundation of China
National Natural Science Foundation of China (CN)
Natural Science Foundation of Shandong Province
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Reference46 articles.
1. Adomavicius G, Kamireddy S, Kwon, Y (2007) Towards more confident recommendations: improving recommender systems using filtering approach based on rating variance. In: Proceedings of the 17th workshop on information technology and systems
2. Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. Knowl Data Eng IEEE Trans 17(6):734–749
3. Bell R, Koren Y, Volinsky C (2007) Modeling relationships at multiple scales to improve accuracy of large recommender systems. In: Proceedings of the 13th ACM SIGKDD international conference on knowledge discovery and data mining, pp 95–104
4. Bell RM, Koren Y, Volinsky C (2008) The bellkor 2008 solution to the netflix prize. Statistics Research Department at AT&T Research
5. Breese JS, Heckerman D, Kadie C, et al (1998) Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the 14th conference on Uncertainty in Artificial Intelligence, pp 43–52
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