Content-boosted collaborative filtering for improved recommendations

Proceedings of the National Conference on Artificial Intelligence

Volumn , Issue , 2002, Pages 187-192

  Melville, Prem ^a   Mooney, Raymond J ^a   Nagarajan, Ramadass ^a  

^a University of Texas at Austin   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CORRELATION METHODS; INTERNET; MATRIX ALGEBRA; PROBABILITY; PROBLEM SOLVING; USER INTERFACES;

RECOMMENDER SYSTEMS;

COMPUTER SUPPORTED COOPERATIVE WORK;

EID: 0036932094     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Balabanovic, M., and Shoham, Y. 1997. Fab: Content-based, collaborative recommendation. Communications of the Association of Computing Machinery 40(3):66-72.
2. Basu, C.; Hirsh, H.; and Cohen, W. 1998. Recommendation as classification: Using social and content-based information in recommendation. In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), 714-720.
3. Claypool, M.; Gokhale, A.; and Miranda, T. 1999. Combining content-based and collaborative filters in an online newspaper. In Proceedings of the SIGIR-99 Workshop on Recommender Systems: Algorithms and Evaluation.
4. Cotter, P., and Smyth, B. 2000. PTV: Intelligent personalized TV guides. In Twelfth Conference on Innovative Applications of Artificial Intelligence, 957-964.
5. Duda, R. O.; Hart, P. E.; and Stork, D. G. 2000. Pattern Classification. New York: Wiley.
6. Fisher, D.; Hildrum, K.; Hong, J.; Newman, M.; Thomas, M.; and Vuduc, R. 2000. Swami: A framework for collaborative filtering algorithm development and evaluation. In SIGIR 2000. Short paper.
7. Goldberg, D.; Nichols, D.; Oki, B.; and Terry, D. 1992. Using collaborative filtering to weave an information tapestry. Communications of the Association of Computing Machinery 35(12):61-70.
8. Good, N.; Schafer, J. B.; Konstan, J. A.; Borchers, A.; Sarwar, B.; Herlocker, J.; and Riedl, J. 1999. Combining collaborative filtering with personal agents for better recommendations. In Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99), 439-446.
9. Herlocker, J.; Konstan, J.; Borchers, A.; and Riedl, J. 1999. 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, 230-237.
10. Lee, W. S. 2001. Collaborative learning for recommender systems. In Proceedings of the Eighteenth International Conference on Machine Learning (ICML-2001), 314-321.
11. Mitchell, T. 1997. Machine Learning. New York, NY: McGraw-Hill.
12. Mooney, R. J., and Roy, L. 2000. Content-based book recommending using learning for text categorization. In Proceedings of the Fifth ACM Conference on Digital Libraries, 195-204.
13. Pazzani, M. J. 1999. A framework for collaborative, content-based and demographic filtering. Artificial Intelligence Review 13(5-6):393-408.
14. Popescul, A.; Ungar, L.; Pennock, D. M.; and Lawrence, S. 2001. Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments. In Proceedings of the Seventeenth Conference on Uncertainity in Artificial Intelligence.
15. Resnick, P.; Iacovou, N.; Sushak, M.; Bergstrom, P.; and Reidl, J. 1994. GroupLens: An open architecture for collaborative filtering of netnews. In Proceedings of the 1994 Computer Supported Cooperative Work Conference. New York: ACM.
16. Soboroff, I., and Nicholas, C. 1999. Combining content and collaboration in text filtering. In Joachims, T., ed., Proceedings of the IJCAI'99 Workshop on Machine Learning in Information Filtering, 86-91.