- 1.{1 cacm} Special Issue on Information Filtering, Communications of the ACM, Vol. 35, No. 12, December 1992.Google Scholar
- 2.{2 latent} Scott Deerweester, Susan Dumais, George Furnas, Thomas Landauer, Richard Harshman, ``Indexing by Latent Semantic Analysis'', Journal of the American Society for Information Science, Vol. 41, No. 1, 1990, pp. 391--407.Google ScholarCross Ref
- 3.{3 tapistry} David Goldberg, David Nichols, Brian M. Oki and Douglas Terry, ``Using Collaborative Filtering to Weave an Information Tapestry'', Communications of the ACM, Vol. 35, No. 12, December 1992, pp. 61--70. Google ScholarDigital Library
- 4.{4 grouplens} Paul Resnick, Neophytos Iacovou, Mitesh Sushak, Peter Bergstrom, John Riedl, ``GroupLens: An Open Architecture for Collaborative Filtering of Netnews'', to be published in the Proceedings of the CSCW 1994 conference, October 1994. Google ScholarDigital Library
- 5.{5 rich} Elaine Rich, ``User Modeling via Stereotypes'', Cognitive Science, Vol. 3, pp. 335-366, 1979.Google ScholarCross Ref
- 6.{6 behave} Robert Rosenthal and Ralph Rosnow, ``Essentials of Behavioral Research: Methods and Data and Analysis'', McGraw Hill, second edition, 1991.Google Scholar
- 7.{7 shard} Upendra Shardanand, ``Social Information Filtering for Music Recommendation'', MIT EECS M. Eng. thesis, also TR-94-04, Learning and Common Sense Group, MIT Media Laboratory, 1994.Google Scholar
Index Terms
- Social information filtering: algorithms for automating “word of mouth”
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