The field of Information Retrieval is gaining in significance every
day. There is more and more data available and we seem to have less
and less time to read it all and decide what is relevant to us.
Forunatelly, there are quite a few good automatic methods that can
help us reduce the amount of data by presenting us with the articles,
web pages, book reviews, news briefings, etc. which have the highest
probability to be of interest to us. Some methods of information
retrieval and filtering can incorporate relevance feedback, i.e. a way
for system evolves as our interests change.
- Gerald Salton, "Automatic Text Processing: the transfomation, analysis, and retrieval of information by computer," 1989 by Addison-Wesley Publishing Company, Inc.
- Gerald Salton, James Allan, and Cris Buckley, "Automatic Stucturing and Retrieval of Large Text Files," Communications of the ACM, February 1994/Vol 37, No 2, page 97.
- Gerald Salton, Edward Fox, Harry Wu, "Extended Boolean Information Retrieval," Communications of the ACM, December 1983, Vol 26, No 11, page 1022.
- Gerard Salton, Edward A. Fox, Chris Buckley and Ellen M. Voorhees, "Boolean Query Formulation with Relevance Feedback," Cornell Univerity, TR 83-539.
- Tak W. Yan, Hector Garcia-Molina, "Distributed Selective Dissemination of Information," Stanford University, TR.
- Tak W. Yan, Hector Garcia-Molina, "SIFT -- A Tool for Wide-Area Information Dissemination," Stanford University, TR.
- Gio Wiederhold, "Digital Libraries, Value, and Productivity," Stanford University, TR.
- David Segal, "Boston Community Information System -- User Manual," MIT/LCS/TR-373, 1986.
Electronic Paper Collections
Pointers to Researchers
- Gerald Salton, Cornell University
- Tak W. Yan, Stanford University
- Hector Garcia-Molina, Stanford University
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