- 1.Danzig, P., Obraczka, K., and Li, S-H. Internet Resource Discovery Services, IEEE Computer, September 1993, pp. 8-22. Google ScholarDigital Library
- 2.Ehrlich, K. and Cash, D. Turning Information into Knowledge: Information Finding as a Collaborative Activity. In Proceedings Digital Libraries '94 (College Station, 1994), 119-125.Google Scholar
- 3.Ehrlich, K. and Cash, D. I am an Information Waitress: Bringing Order to the New Digital Libraries. 1994. Lotus Internal Report.Google Scholar
- 4.Fischer, G. and Stevens, C. Information Access in Complex, Poorly Structured Information Spaces. In Proc. CHI'91 Human Factors in Computing Systems (New Orleans,1991), Addison-Wesley, pp. 63-70. Google ScholarDigital Library
- 5.Goldberg, D., Oki, B., Nichols, D., Terry, D.B. Using Collaborative Filtering to Weave an Information Tapestry. Communications of the ACM, December 1992, Vol 35, No12, pp. 61-70. Google ScholarDigital Library
- 6.Grudin, J. Why CSCW Applications Fail: problems in the Design and Evaluation of Organizational Interfaces. In Proc. CSCW '88 (Portland, 1988), ACM, pp. 85-93. Google ScholarDigital Library
- 7.Hill, W., Hollan, J., Wrobleski, D. and McCandless, T. Edit Wear and Read Wear. In Proc. CHI'92 Human Factors in Computing Systems (Monterey, 1992), Addison-Wesley, pp. 3-9. Google ScholarDigital Library
- 8.Johnson, M. Simon Homepage: "Welcome to SIMON,'' University of London, available via World Wide Web at http://www.elec.qmw.ac.uk/simon/.Google Scholar
- 9.Loeb, S. Architecting Personalized Delivery of Multimedia Information. Communications of the ACM, December 1992, Vol 35, No 12, pp. 39-48. Google ScholarDigital Library
- 10.Maltz, D.A. Distributing Information for Collaborative Filtering on Usenet Net News. MIT Department of EECS MS Thesis (May, 1994). Also available as Tech Report MIT/LCS/TR-603. Google ScholarDigital Library
- 11.Mauldin, M., personal communication. see also "The Lycos Home Page:Hunting WWW Information" http://lycos.cs.cmu.edu/.Google Scholar
- 12.Palme, J. You have 134 unread mail! Do you want to read them now? Proceedings IFIP WG 6.5 Working Conference on Computer-Based Document Services, Nottingham England May 1984, pp 175-184. Google ScholarDigital Library
- 13.Reid, B. Usenet Readership Summary Report For May 93, Usenet news.lists, 2 June 1993.Google Scholar
- 14.Resnick, P., Neophytos, I., Mitesh, S. Bergstrom, P. and Riedl, J. GroupLens: An Open Architecture for Collaborative Filtering of Netnews. In Proc. of CSCW '94: Conference on Computer Supported Cooperative Work (Chapel Hill, 1994), Addison-Wesley. Google ScholarDigital Library
- 15.Sheth, B., and Maes, P. Evolving Agents for Personalized Information Filtering. Proceedings of the Ninth IEEE Conference on Artificial Intelligence for Applications, 1993.Google ScholarCross Ref
- 16.Terry, D.B. 7 Steps to a Better Mail System. Proceedings IFIP International Symposium on Message Handling System and Application Layer Communication Protocols, October 1990.Google Scholar
Index Terms
- Pointing the way: active collaborative filtering
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