Mining trust values from recommendation errors

International Journal on Artificial Intelligence Tools

Volumn 15, Issue 6, 2006, Pages 945-962

  O'Donovan, John ^a   Smyth, Barry ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

Collaborative filtering; Profile similarity; Recommender systems; Trust

Indexed keywords

EID: 33845646890     PISSN: 02182130     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218213006003053     Document Type: Conference Paper

References (22)

1. Alfarez Abdul-Rahman and Stephen Hailes. A distributed trust model. In New Security Paradigms 1997, pages 48-60, 1997.
2. Paolo Avesani, Paolo Massa, and Roberto Tiella. A trust-enhanced recommender system application: Moleskiing. In SAC '05: Proceedings of the 2005 ACM symposium on Applied computing, pages 1589-1593, New York, NY, USA, 2005. ACM Press.
3. Keith Bradley, Rachael Rafter, and Barry Smyth. Case-based user profiling for content personalisation. In AH '00: Proceedings of the International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, pages 62-72, London, UK, 2000. Springer-Verlag.
4. Robin D. Burke, Kristian J. Hammond, and Benjamin C. Young. The findme approach to assisted browsing. IEEE Expert, 12(4):32-40, 1997.
5. Dan Cosley, Shyong K. Lam, Istvan Albert, Joseph A. Konstan, and John Riedl. Is seeing believing?: how recommender system interfaces affect users' opinions. In Proceedings of the conference on Human factors in computing systems, pages 585-592. ACM Press, 2003.
6. Chrysanthos Dellarocas. Building trust on-line: The design of reliable reputation reporting mechanisms for online trading communities. eBusiness@MIT, July 2001.
7. Joseph A. Konstan, Bradley N. Miller, David Maltz, Jonathan L. Herlocker, Lee R. Gordon, and John Riedl. GroupLens: Applying collaborative filtering to Usenet news. Communications of the ACM, 40(3):77-87, 1997.
8. Shyong K. Lam and John Riedl. Shilling recommender systems for fun and profit. In Proceedings of the 13th international conference on World Wide Web, pages 393-402. ACM Press, 2004.
9. Raph Levien. Attack resistant trust metrics. Ph.D Thesis, UC Berkeley.
10. S. Marsh. Formalising trust as a computational concept. Ph.D. Thesis. Department of Mathematics and Computer Science, University of Stirling, 1994.
11. Paolo Massa and Bobby Bhattacharjee. Using trust in recommender systems: an experimental analysis. Proceedings of 2nd International Conference on Trust Managment, Oxford, England, 2004.
12. Kevin McCarthy, James Reilly, Lorraine McGinty, and Barry Smyth. Experiments in dynamic critiquing. In IUI '05: Proceedings of the 10th international conference on Intelligent user interfaces, pages 175-182, New York, NY, USA, 2005. ACM Press.
13. P. Melville, R. Mooney, and R. Nagarajan. Content-boosted collaborative filtering for improved recommendations, 2002.
14. Miquel Montaner, Beatriz Lopez, and Josep Lluis de la Rosa. Developing trust in recommender agents. In Proceedings of the first international joint conference on Autonomous agents and multiagent systems, pages 304-305. ACM Press, 2002.
15. John O'Donovan and John Dunnion. A framework for evaluation of collaborative recommendation algorithms in an adaptive recommender system. In Proceedings of the International Conference on Computational Linguistics (CICLing-04), Seoul, Korea, pages 199-203. Springer-Verlag, 2004.
16. John O'Donovan and Barry Smyth. Eliciting trust values from recommendation errors. In Proceedings of the 18th International Florida Artificial Intelligence Research Society Conference (FLAIRS 05), pages 289-294, Clearwater Beach, Florida, USA, May 15-17 2005.
17. John O'Donovan and Barry Smyth. Trust in recommender systems. In IUI '05: Proceedings of the 10th international conference on Intelligent user interfaces, pages 167-174. ACM Press, 2005.
18. Michael O'Mahony, Neil Hurley, Nicholas Kushmerick, and Guenole Silvestre. Collaborative recommendation: A robustness analysis, url: citeseer.ist.psu.edu/508439.html.
19. Michael P. O'Mahony, Neil Hurley, and Guenole C. M. Silvestre. An attack on collaborative filtering. In Proceedings of the 13th International Conference on Database and Expert Systems Applications, pages 494-503. Springer-Verlag, 2002.
20. Paul Resnick, Neophytos Iacovou, Mitesh Suchak, Peter Bergstrom, and John Riedl. Grouplens: An open architecture for collaborative filtering of netnews. In Proceedings of ACM CSCW'94 Conference on Computer-Supported Cooperative Work, Sharing Information and Creating Meaning, pages 175-186, 1994.
21. Rashmi Sinha and Kirsten Swearingen. The role of transparency in recommender systems. In CHI '02 extended abstracts on Human factors in computing systems, pages 830-831. ACM Press, 2002.
22. Barry Smyth and Paul Cotter. A personalized television listings service. Commun. ACM, 43(8):107-111, 2000.