Utility-based neighbourhood formation for efficient and robust collaborative filtering

Proceedings of the ACM Conference on Electronic Commerce

Volumn 5, Issue , 2004, Pages 260-261

  O'Mahony, Michael P ^a   Hurley, Neil J ^a   Silvestre, Guénolé C M ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

Automated Collaborative Filtering; Efficiency; Neighbourhood Formation; Performance Measures; Robustness; Utility

Indexed keywords

ALGORITHMS; AUTOMATION; BENCHMARKING; COMPUTER SOFTWARE; DATABASE SYSTEMS; EFFICIENCY; PERFORMANCE;

AUTOMATED COLLABORATIVE FILTERING; DATA-SETS; INFORMATION SYSTEMS;

COMPUTER SUPPORTED COOPERATIVE WORK;

EID: 3242789406     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/988772.988823     Document Type: Conference Paper

References (4)

1. P. Resnick, N. Iacovou, M. Suchak, P. Bergstrom, and J.Riedl. Grouplens: An open architecture for collaborative filtering of netnews. In Proceedings of the ACM Conference on Computer Supported Cooperative Work, NC, USA, pages 175-186, Oct. 1994.
2. J. Herlocker, J. Konstan, A. Borchers, and 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, Berkeley, CA, USA, pages 230-237, Aug. 1999.
3. M. P. O'Mahony, N. J. Hurley, and G. C. M. Silvestre. An evaluation of the performance of collaborative filtering. In Proceedings of the 14th Irish International Conference on Artificial Intelligence and Cognitive Science, Dublin, Ireland, pages 164-168, Sept. 2003.
4. http://movielens.umn.edu/.