A case-based reasoning approach to collaborative filtering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1898, Issue , 2000, Pages 370-379

  Burke, Robin ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE FILTERING; SEMANTICS;

CASE-BASED REASONING APPROACHES; CBR SYSTEMS; COLLABORATIVE FILTERING SYSTEMS; MULTI DIMENSIONAL;

CASE BASED REASONING;

EID: 84948144441     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44527-7_32     Document Type: Conference Paper

References (13)

1. Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., and Riedl, J. 1994 GroupLens: an open architecture for collaborative filtering of netnews. In CSCW '94: Proceedings of the conference on Computer supported cooperative work, pp. 175-186. New York: ACM Press.
2. Shardanand, U. and Maes, P. 1995. Social information filtering algorithms for automating “word of mouth” In CHI-95: Conference proceedings on Human factors in computing systems, pp. 210-217. New York: ACM Press.
3. Resnick, P. and Varian, H. R. 1997. Recommender systems. Communications of the ACM, 40(3) 56-58.
4. Kautz, H. (ed.) 1998 Recommender Systems: Papers from the AAAI Workshop. AAAI Technical Report WS-98-08. AAAI.
5. Balabanovic, M. and Shoham, Y. 1997. FAB: Content-Based Collaborative Recommender.. Communications of the ACM, 40(3) 66-72.
6. Pazzani, M. and Billsus, D. 1997. Learning and revising user profiles: The identification of interesting web sites. Machine Learning 27(3): 313-331.
7. Burke, R. 1999 The Wasabi Personal Shopper: A Case-Based Recommender System. In Proceedings of the 11th National Conference on Innovative Applications of Artificial Intelligence, pp. 844-849, AAAI.
8. Burke, R. In press. Knowledge-based Recommender Systems. In A. Kent (ed.), Encyclopedia of Library and Information Systems.
9. Burke, R., Hammond, K., and Young, B. 1997 The FindMe Approach to Assisted Browsing. IEEE Expert, 12(4), 32-40.
10. Burke, R. 1999 Integrating Knowledge-Based and Collaborative-Filtering Recommender Systems. In AAAI Workshop on AI in Electronic Commerce. pp. 69-72. AAAI.
11. Cotter, P. & Smyth, B. 2000. PTV: Intelligent Personalised TV Guides. In Proceedings of the 12th Innovative Applications of Artificial Intelligence Conference. AAAI Press. To appear.
12. Billsus, D. and Pazzani, M. 1999. A Hybrid User Model for News Story Classification. In Proceedings of the Seventh International Conference on User Modeling (UM '99), Banff, Canada, June 20-24, 1999.
13. Breese, J. S.; Heckerman, D. and Kadie, C. 1998. Analysis of Predictive Algorithms for Collaborative Filtering. In Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, pp. 43-52. San Francisco, CA: Morgan Kaufmann.