Author:
Guo Cong,Li Bei,Tian Xinmei
Funder
Youth Innovation Promotion Association of the Chinese Academy of Sciences
Specialized Research Fund for the Doctoral Program of Higher Education of China
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Subject
Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications
Reference26 articles.
1. Group recommendation;Amer-Yahia;Proceedings of the VLDB Endowment,2009
2. L. Baltrunas, T. Makcinskas, F. Ricci, Group recommendations with rank aggregation and collaborative filtering, in: Proceedings of the fourth ACM conference on Recommender systems, ACM, 2010, pp. 119–126.
3. J.L. Herlocker, J.A. Konstan, A. Borchers, J. Riedl, An algorithmic framework for performing collaborative filtering, in: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, ACM, 1999, pp. 230–237.
4. J.S. Breese, D. Heckerman, C. Kadie, Empirical analysis of predictive algorithms for collaborative filtering, in: Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence, Morgan Kaufmann Publishers Inc., 1998, pp. 43–52.
5. B. Sarwar, G. Karypis, J. Konstan, J. Riedl, Item-based collaborative filtering recommendation algorithms, in: Proceedings of the 10th international conference on World Wide Web, ACM, 2001, pp. 285–295.
Cited by
24 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