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Concept features in Re:Agent, an intelligent Email agent

Published:01 May 1998Publication History
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References

  1. 1.Managing corporate communications in the information age, http://www.pitneybowes.com/pbi/whatsnew/ releases/communication_options.htm. Institute for the Future (iFTF), the Gallup Organization and San Jose State University, commissioned by Pitney Bowes Inc.Google ScholarGoogle Scholar
  2. 2.Marko Balabanovi~ and Yoav Shoham. Learning information retrieval agents: Experiments with automated web browsing, In AAAI-95 Spring Symposium on Information Ga!hering,from Heterogenous, Distributed Environments, 1995.Google ScholarGoogle Scholar
  3. 3.Suzanna Becker and Mark Plumbley. Unsupervised neural network learning procedures for feature extraction and classification. Journal of Applied Intelligence, 6:1-21, 1996,Google ScholarGoogle ScholarCross RefCross Ref
  4. 4.Chris Clack, Jonny Farrington, Peter Lidwell, and Tina Yu. Autonomous document classification for business. In Proceedings of the 1997 International Conference on Autonomous Agents, February 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. 5.William W. Cohen. Learning rules that classify e-mail. In Proceeding of the AAAI Spring Symposium on Mael~ine Learning in Information Access, 1996.Google ScholarGoogle Scholar
  6. 6.Scott Deerwester, Susan T. Dumais, and Richard Harshman. Indexing by latent semantic analysis. Journal of the American Society .for Information Science, 41(6):391-407, 1990.Google ScholarGoogle Scholar
  7. 7.B0 Doorenbos, O. Etzioni, and D. Weld. A scalable comparison-shopping agent for the world-wide web. In Proceedings of the 1997 International Conference on Autonomous Agents, February 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. 8.David J, Finton and Yu Hen Hu. Importance-based feature extraction for reinforcement learning. In et el. Thomas Petsche, editor, Computational Learning Theory and Natural Learning Systems, volume 3. MIT Pressj 1994.Google ScholarGoogle Scholar
  9. 9.William B. Frakes and Ricardo Baeza-Yates. In.formation Retreival: Data Structures and Algorithms. Prentice-Hall, Englewood Cliffs, NJ, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. 10.$. C. Gwynne and John F. Dickerson. Lost in the email, Time Magazine, April 1997. pp. 88-90.Google ScholarGoogle Scholar
  11. 11.Jonathan Helfman and Charles Isbell. Ishmail; Immediate identification of important information. Technical report, AT&T Labs, 1995.Google ScholarGoogle Scholar
  12. 12.David Hull, Jan Pedersen, and Hinrich Schfietze. Document routing as statistical classification. In AAAI Spring Symposium on Machine Learning in Information Aecess, Palo Alto, CA, March 1996.Google ScholarGoogle Scholar
  13. 13.Tomonari Kamba, Krishna Bharat, and Michael Albers. Tile krakatoa chronicle: An interactive, personalized newspaper on the web. In Proceedings of the Fourth International World. Wide Web Conference, Boston, MA, December 1995.Google ScholarGoogle Scholar
  14. 14.Daphne Koller and Mehran Sahami. Toward optimal feature selection. In Lorenza Saitta, editor, Machine Learning: Proceedings of the Thirteenth International Conference, Morgan Kaufmann, 1996.Google ScholarGoogle Scholar
  15. 15.Daphne Koller and Yoav Shoham. Information agents: A new challenge for ai. IEEE Expert, pages 8-10, June 1996.Google ScholarGoogle Scholar
  16. 16.Bruce Krulwich. Learning document, category descrip~ tions through the extraction of semantically significant phrases. In Proceedings of the iJCAI Workshop on Data Engineering for Inductive Learning, 1995.Google ScholarGoogle Scholar
  17. 17.Yazdi Lashkari, Max Metral, and Pattie Maes. Collaborative interface agents. In Proceedings of the Twelfth National Conference on Artificial Intelligence, volume 1, Seattle, WA, August 1994. AAAI Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. 18.Henry Lieberman. Letizia: An agent that assists web browsing. In Proceedings of the International Joint Conference on Artificial Intelligence, Montreal, August 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. 19.P. Maes and R. Kozierok. Learning interface agents. In Proceedings of the Eleventh National Conference on Artificial Intelligence, pages 459-465, Washington, D.C., July 1993. MIT Press.Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. 20.Terry R. Payne and Peter Edwards. Learn: An investigation of learning issues in a mail agent interface. Applied Artificial Intelligence, 11:1-32, 1997.Google ScholarGoogle ScholarCross RefCross Ref
  21. 21.Michael Pazzani, Daniel Billsus, and Jack Muramatsu. Syskill & webert: identifying interesting web sites. In Proceedings of the Thirteenth National Conference on Artificial Intelligence, Portland, OR, August 1996. American Association for Artificial Intelligence. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. 22.Gerard Salton. Automatic Text Processing. Addison- Wesley, Reading, MA, 1989. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. 23.Gerard Salton and Chris Bucldey. Term weighting approaches in automatic text retrieval. Technical report, Cornell University, Department of Computer Science, 1987. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. 24.Jeffrey C. Schlimmer and Leonard A. Hermens. Software agents: Completing patterns and constructing user interfaces. Journal of Artificial Intelligence Re. search, 1:61-89, 1993.Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. 25.B. Sheth and P. Maes. Evolving agents for personalized information filtering. In Ninth Conference on Artificial Intelligence for Applications, pages 345-352, Orlanda, FL, March 1993. IEEE Computer Society Press.Google ScholarGoogle ScholarCross RefCross Ref
  26. 26.Germany Stephen R. van den Berg at RWTH-Aachen. procmail--autonomous mail processor.Google ScholarGoogle Scholar
  27. 27.D. Taylor. Mail filtering on the fly: The elm filter program. Technical Report STL-88-4, Hewlitt-Packard Laboratories, Palo Alto, CA, February 1988.Google ScholarGoogle Scholar
  28. 28.Loren G. Terveen and La Tondra Murray. Helping users program their personal agents. In Proceedings of the 1996 Conference on Human Factors in Computing Sys. terns (CH{ '96), pages 355-361, Vancouver, April 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. 29.Andy Wood, Anind Dey, and Gregory D. Abowd. Cyberdesk: Automated integration of desktop and network services. In Proceedings of the 1997 Conference on Human Factors in Computing Systems (CHI '97), 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library

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            cover image ACM Conferences
            AGENTS '98: Proceedings of the second international conference on Autonomous agents
            May 1998
            484 pages
            ISBN:0897919831
            DOI:10.1145/280765

            Copyright © 1998 ACM

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            • Published: 1 May 1998

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            AGENTS '98 Paper Acceptance Rate57of180submissions,32%Overall Acceptance Rate182of599submissions,30%

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