A novel recommender system fusing the opinions from experts and ordinary people

ACM International Conference Proceeding Series

Volumn , Issue , 2010, Pages 41-44

  Wu, Pei ^a   Liu, Weiping ^a   Jin, Cihang ^a  

^a UNIVERSITY OF FRIBOURG   (Switzerland)

Author keywords

Collaborative filtering; Experts finding; Recommender systems

Indexed keywords

AVERAGE VALUES; COLLABORATIVE FILTERING; COLLABORATIVE FILTERING ALGORITHMS; DATA SETS; EXPERTS FINDING; FREE PARAMETERS; ORDINARY PEOPLE; RECOMMENDATION ALGORITHMS; RECOMMENDER SYSTEMS;

DATA PROCESSING; SIGNAL FILTERING AND PREDICTION;

ALGORITHMS;

EID: 78650159163     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1869652.1869659     Document Type: Conference Paper

References (10)

1. Gediminas Adomavicius and Alexander Tuzhilin. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng., 17(6):734-749, June 2005.
2. L. Candillier, K. Jack, F. Fessant, and F. Meyer. State-of-the-art recommender systems. In Collaborative and Social Information Retrieval and Access - Techniques for Improved User Modeling, pages 1-22. Idea Group, 2009.
3. X. Y. Su and Taghi M. Khoshgoftaar. A survey of collaborative filerting techniques. Advances in Artificial Intelligence, 2009(4), 2009.
4. B. Sarwar, G. Karypis, J. Konstan, and J. Riedl. Item-based collaborative filtering recommendation algorithms. In Proc.10th Int. WWW Conf., May 2001.
5. M. Deshpande and G. Karypis. Item-based top-n recommendation algorithms. ACM Trans. Inf. Syst., 22(1):143-177, 2004.
6. Y. K. Yu, Y. C. Zhang, P. Laureti, and L. Moret. Decoding information from noisy, redundant, and intentionally-distorted sources. Physica A, 371(2):732-744, November 2006.
7. J. S. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, pages 43-52, 1998.
8. Alan Said, Shlomo Berkovsky, and Ernesto W. De Luca. Putting things in context: Challenge on context-aware movie recommendation. In CAMRa2010: Proceedings of the RecSys '10 Challenge on Context-aware Movie Recommendation, New York, NY, USA, 2010. ACM.
9. L. G. Terveen J. L. Herlocker, J. A. Konstan and J. T. Riedl. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst., 22(1):5-53, 2004.
10. C. Buckley and E. M. Voorhees. Retrieval system evaluation. In TREC: experiment and evaluation in information retrieval. MIT Press, 2005.