Paul Resnick
Neophytos Iacovou
Peter Bergstrom
John Riedl
ABSTRACT
Collaborative filters help people make choices based on the opinions of other people. GroupLens is a system for collaborative filtering of netnews, to help people find articles they will like in the huge stream of available articles. News reader clients display predicted scores and make it easy for users to rate articles after they read them. Rating servers, called Better Bit Bureaus, gather and disseminate the ratings. The rating servers predict scores based on the heuristic that people who agreed in the past will probably agree again. Users can protect their privacy by entering ratings under pseudonyms, without reducing the effectiveness of the score prediction. The entire architecture is open: alternative software for news clients and Better Bit Bureaus can be developed independently and can interoperate with the components we have developed.
- 1.Allen, ll.B. User MoOels: ltleory, Memoo, ana Practice. International Journal of Man-Machine Studies, 32, (1990), pp. 511-543. Google Scholar
Digital Library
- 2.Belkin, N.J. and Croft, B.W. Information Filtering and Information Retrieval" Two Sides of the Same Coin? CA CM, 35, 12 (1992), pp. 29-38. Google ScholarDigital Library
- 3.Brothers, L., Hollan, J., Nielsen, J., Stornetta, S., Abney, S., Furnas, G. and Littman, M. Supporting Informal Communication via Ephemeral Interest Groups. In Proceedings of CSCW 92 (1992, New York: ACM), pp. 84-90. Google ScholarDigital Library
- 4.Deerwester, S., Dumais, S.T., Furnas, G.W., Landauer, T.K. and Harshman, R. Indexing by Latent Semantic Analysis. Journal of the American Society for Information Science, 41, 6 (1990), pp. 391-407.Google ScholarCross Ref
- 5.Foltz, P.W. and Dumais, S.T. Personalized Information Delivery: An Analysis of Information Filtering Methods. Communications of the ACM, 35, 12 (1992), pp. 51-60. Google ScholarDigital Library
- 6.Goldberg, D., Nichols, D., Old, B.M. and Terry. D. Using Collaborative Filtering to Weave an Information Tapestry. Communications of the A CM, 35, 12 (1992), pp. 61-70. Google ScholarDigital Library
- 7.Hill, W.C., Hollan, J.D., Wroblewski, D. and McCandless, T. Edit Wear and Read Wear. in Proceedings of CH192 Conference on Human Factors in Computing Systems (1992, New York: ACM), pp. 3-9. Google ScholarDigital Library
- 8.Kahn, R.E. and Cerf, V.G. The Digital Library Project, Volume i: The Wold of Knowbots. An Open Architecture for a Digital Library System and a Plan for Its Development. CNRI, 1895 Preston White Drive, Suite 100, Reston, VA 22091 Tech Report (March, 1988).Google Scholar
- 9.Karlgren, J. Newsgroup Clustering Based on User Behavior-- A Recommendation Algebra. Swedish Institute of Computer Science #SICS-T--94/04-SE (March, 1994). Google ScholarDigital Library
- 10.Kawell, L.J., Beckhardt, S., Halvorsen, T. and Ozzie, R. Replicated Document Management in a Group Communication System. In Proceedings of CSCW 88 (1988, New York: ACM). Google ScholarDigital Library
- 11.Kumon, S. From Wealth to Wisdom: A Change in the Social Paradigm. In Proceedings of CSCW 92 (1992, New York: ACM), pp. 3. Google ScholarDigital Library
- 12.Maes, P. and Kozierok, R. Learning Interface Agents. in Proceedings of AAAI 93 (1993, San Mateo, CA: American Association for Artifical Intelligence).Google Scholar
- 13.Malone, T.W., Grant, K.R., Turbak, F.A., Brobst, S.A. and Cohen, M.D. intelligent Information Sharing Systems. Communications of the A CM, 30, 5 (1987), pp. 390-402. Google ScholarDigital Library
- 14.Maltz, D.A. Distributing Information for Collaborative Filtering on Usenet Net News. MIT Department of EECS MS Thesis (May, 1994).Google ScholarDigital Library
- 15.Pindyck, R.S. and Rubinfeld, D.L. Econometric Models and Economic Forecasts. MacGraw-Hill, New York, 199 I.Google Scholar
- 16.Salton, G. and Buckley, C. Term-Weighting Approaches in Automatic Text Retrieval. Information Processing and Management, 24, 5 (1988), pp. 513-523. Google ScholarDigital Library
- 17.Salton, G. and Buckley, C. Improving Retrieval Performance by Relevance Feedback. Journal of the American Society for Information Science, 41, 4 (1990), pp. 288-297.Google ScholarCross Ref
- 18.Sheth, B. A Learning Approach to Personalized Information Filtering. MIT Department of EECS MS Thesis (February, 1994).Google Scholar
- 19.Stodolsky, D.S. Invitational Journals Based Upon Peer Consensus. Roskilde University Centre, Institute of Geography, Socioeconomic Analysis, and Computer Science. ISSN 0109-9779-29 #No. 29/1990 (, 1990).Google Scholar
- 20.Suchak, M.A. GoodNews: A Collaborative Filter for Network News. MIT Department of EECS MS Thesis (February, 1994).Google Scholar
- 21.Wiederhold, G. Mediators in the Architecture of Future Information Systems. IEEE Computer, March, (1992), pp. 38-49. Google ScholarDigital Library
Index Terms
- GroupLens: an open architecture for collaborative filtering of netnews
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