Understanding case based recommendation: A similarity knowledge perspective

International Journal on Artificial Intelligence Tools

Volumn 14, Issue 1-2, 2005, Pages 215-232

  O'Sullivan, Derry ^a   Smyth, Barry ^a   Wilson, David ^b  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

^b University of North Carolina at Charlotte   (United States)

Author keywords

Case based reasoning; Collaborative filtering; Recommender systems; Sparsity problem; System analysis

Indexed keywords

EID: 33746225584     PISSN: 02182130     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218213005002077     Document Type: Conference Paper

References (23)

1. Rakesh Agrawal, Heikki Mannila, Ramakrishnan Srikant, Hannu Toivonen, and A. Inkeri Verkamo. Fast Discovery of Association Rules. In Usama M. Fayyad and et al, editors, Advances in Knowledge Discovery and Data Mining, chapter 12, pages 307-328. 1996.
2. Robin Burke. A case-based reasoning approach to collaborative filtering. In Proceedings of EWCBR-00, pages 370-379. Springer, 2000.
3. Robin Burke. Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction, 12(4):331-370, 2002.
4. Paul Cotter and Barry Smyth. Ptv: Intelligent Personalised TV Guides. In KlausDieter Althoff et al, editor, Proceedings of the 17th National Conference on Artificial Intelligence and 12th Conference on Innovative Applications of Artificial Intelligence, pages 957-964. AAAI Press, 2000.
5. Peter W. Foltz. Using Latent Semantic Indexing for Information Filtering. In Conference on Office Information Systems, pages 40-47. ACM Press, 1990.
6. Ken Goldberg, Theresa Roeder, Dhruv Gupta, and Chris Perkins. Eigentaste: A Constant Time Collaborative Filtering Algorithm. Information Retrieval Journal, 4(2):133-151, 2001.
7. Conor Hayes, Pádraig Cunningham, and Barry Smyth. A Case-Based View of Automated Collaborative Filtering. In 4th International Conference on Case-Based Reasoning, volume 2080, pages 234-248. Springer, 2001.
8. Katsuhiro Honda, Hidetomo Ichihashi Nobukazu Sugiura, and Shoichi Araki. Collaborative Filtering Using Principal Component Analysis and Fuzzy Clustering. In Ning Zhong and et al, editors, Web Intelligence: Research and Development, WI 2001, volume 2198, pages 394-402. Springer, 2001.
9. Joseph A. Konstan, Brad N. Miller, David Maltz, Jon L. Herlocker, Lee R. Gordon, and John Riedl. Grouplens: Applying Collaborative Filtering to Usenet News. Communications of the ACM, 40(3):77-87, 1997.
10. Peter Lyman and Hal R. Varian. How Much Information, 2003. Retrieved from http://www.sims.berkeley.edu/how-much-info-2003.
11. Paul McJones. Eachmovie Collaborative Filtering Dataset, DEC Systems Research Center, http://www.research.compaq.com/src/eachmovie/, 1997.
12. Elizabeth McKenna and Barry Smyth. Competence-Guided Case-Base Editing Techniques. In Enrico Blanzieri and Luigi Portinale, editors, Proceedings of EWCBR-00, volume 1898, pages 186-197. Springer, 2000.
13. Derry O'Sullivan, Barry Smyth, and David Wilson. Analysing similarity essence for case based recommendation. In Proceedings of the 7th European Conference on Case Based Reasoning, Madrid, Spain, August 30-September 02 2004. In Press.
14. Derry O'Sullivan, Barry Smyth, and David Wilson. In-Depth Analysis of Similarity Knowledge and Metric Contributions to Recommender Performance. In Proceedings of the 17th International FLAIRS Conference, May 17-19, Miami Beach, Florida, FLAIRS 2004 CD, AAAI Press, 2004.
15. Derry O'Sullivan, David Wilson, and Barry Smyth. Using Collaborative Filtering Data in Case-based Recommendation. In Susan M. Haller and Gene Simmons, editors, Proceedings of the 15th International FLAIRS Conference, pages 121-128. AAAI Press, 2002.
16. Derry O'Sullivan, David Wilson, and Barry Smyth. Preserving Recommender Accuracy and Diversity in Sparse Datasets. In Ingrid Russell and Susan Haller, editors, Proceedings of the 16th International FLAIRS Conference, pages 139 - 144. AAAI Press, 2003.
17. Paul Resnick and Hal R. Varian. Recommender Systems. Communications of the ACM, 40(3):56-58, 1997.
18. Mark Rosenstein and Carol Lochbaum. Recommending from Content: Preliminary Results from an E-Commerce Experiment. In CHI '00, pages 291-292. ACM Press, 2000.
19. Wade Roush. Search Beyond Google. MIT Technology Review, pages 34-45, 2004.
20. Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl. Analysis of Recommendation Algorithms for E-Commerce. In Proceedings of the 2nd ACM Conference on Electronic Commerce, pages 158-167. ACM Press, 2000.
21. Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl. Item-based Collaborative Filtering Recommendation Algorithms. In Proceedings of the 10th International WWW Conference, pages 285-295. ACM Press, 2001.
22. Barry Smyth and Paul Cotter. Personalized Electronic Programme Guides. Artificial Intelligence Magazine, 22(2):89-98, 2001.
23. Pang-Ning Tan, Vipin Kumar, and Jaideep Srivastava. Selecting the Right Interestingness Measure for Association Patterns. In Proceedings of the 8th ACM SIGKDD Conference, pages 32-41, 2002.