A recursive prediction algorithm for collaborative filtering recommender systems

RecSys'07: Proceedings of the 2007 ACM Conference on Recommender Systems

Volumn , Issue , 2007, Pages 57-64

  Zhang, Jiyong ^a   Pu, Pearl ^a  

^a EPFL   (Switzerland)

Author keywords

Collaborative filtering; Prediction algorithm; Recommendation accuracy; Recommender systems

Indexed keywords

ALGORITHMS; RECURSIVE FUNCTIONS; USER INTERFACES;

COLLABORATIVE FILTERING; PREDICTION ALGORITHMS; RECOMMENDATION ACCURACY; RECOMMENDER SYSTEMS;

COMPUTER SUPPORTED COOPERATIVE WORK;

EID: 42149193177     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1297231.1297241     Document Type: Conference Paper

References (13)

1. J. S. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI-98), pages 43-52, San Francisco, 1998. Morgan Kaufmann.
2. D. Goldberg, D. Nichols, B. M. Oki, and D. Terry. Using collaborative filtering to weave an information tapestry. Commun. ACM, 35(12):61-70, 1992.
3. J. Herlocker, J. A. Konstan, and J. Riedl. An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms. Information Retrieval, 5(4):287-310, 2002.
4. J. L. Herlocker, J. A. Konstan, A. Borchers, and J. Riedl. An algorithmic framework for performing collaborative filtering. In SIGIR, '99: Proceedings of the 22nd annual international ACM SIGIR. conference on Research and development in information retrieval, pages 230-237, New York, NY, USA, 1999. ACM Press.
5. W. C. Hill, L. Stead, M. Rosenstein, and G. W. Furnas. Recommending and evaluating choices in a virtual community of use. In CHI, pages 194-201, 1995.
6. D. Lemire and A. Maclachlan. Slope one predictors for online rating-based collaborative filtering. In Proceedings of SIAM Data Mining (SDM'05), 2005.
7. G. D. Linden, J. A. Jacobi, and E. A. Benson. Collaborative recommendations using item-to-item similarity mappings. US Patent 6,266,649 (to Amazon.com), 2001.
8. J. O'Donovan and B. Smyth. Trust in recommender systems. In IUI '05: Proceedings of the 10th international conference on Intelligent user interfaces, pages 167-174, New York, NY, USA, 2005. ACM Press.
9. S. Owen. Taste: Open source collaborative filtering for Java: http://taste.sourceforge.net/.
10. P. Resnick, N. lacovou, M. Suchak, P. Bergstorm, and J. Riedl. Grouplens: An open architecture for collaborative filtering of netnews. In Proceedings of ACM 1994 Conference on Computer Supported Cooperative Work, pages 175-186, Chapel Hill, North Carolina, 1994. ACM.
11. B. Sarwar, G. Karypis, J. Konstan, and J. Reidl. Item-based collaborative filtering recommendation algorithms. In WWW '01: Proceedings of the 10th international conference on World Wide Web, pages 285-295, New York, NY, USA, 2001. ACM Press.
12. U. Shardanand and P. Maes. Social information filtering: Algorithms for automating "word of mouth". In CHI, pages 210-217, 1995.
13. D. O. Sullivan, D. Wilson, and B. Smyth. Improving case-based recommendation: A collaborative filtering approach. In ECCBR. '02: Proceedings of the 6th European Conference on Advances in Case-Based Reasoning, pages 278-291, London, UK, 2002. Springer-Verlag.