The state of the art in text filtering

User Modeling and User-Adapted Interaction

Volumn 7, Issue 3, 1997, Pages 141-178

  Oard, Douglas W ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

Collaborative; Content based; Current awareness; Information filtering; Recommender systems; Selective Dissemination of Information; Social filtering; Text retrieval

Indexed keywords

COMPUTER SIMULATION; INFORMATION DISSEMINATION; INFORMATION USE; USER INTERFACES;

TEXT FILTERING;

INFORMATION RETRIEVAL SYSTEMS;

EID: 0031344674     PISSN: 09241868     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008287121180     Document Type: Article

References (6)

1. Allan, J.: 1996, 'Incremental Relevance Feedback for Information Filtering'. In: H.-P. Frei, D. Harman, P. Schäuble, and R. Wilkinson (eds.): Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. http://ciir.cs.umass.edu/info/psfiles/irpubs/james-sigir96.ps.gz.
2. Avery, C. and Zeckhauser, R.: 1997, 'Recommender Systems for Evaluating Computer Messages'. Communications of the ACM 40(3), 88-89.
3. Baclace, P.E.: 1992, 'Competitive Agents for Information Filtering'. Communications of the ACM 35(12), 50.
4. Balabanovic, M. and Shoham, Y.: 1997, 'Content-Based, Collaborative Recommendation'. Communications of the ACM 40(3), 66-72. http://robotics.stanford.edu/people/marko/papers/cacm.ps.
5. Belkin, N.J. and Croft, W.B.: 1992, 'Information Filtering and Information Retrieval: Two Sides of the Same Coin?'. Communications of the ACM 35(12), 29-38.
6. Bielefield, A. and Cheeseman, L.: 1994, Maintaining the Privacy of Library Records. New York: Neal-Schuman.