skip to main content
10.1145/336595.337546acmconferencesArticle/Chapter ViewAbstractPublication PagesaamasConference Proceedingsconference-collections
Article
Free Access

Learning user's preferences by analyzing Web-browsing behaviors

Authors Info & Claims
Published:01 June 2000Publication History
First page image

References

  1. 1.Nicholas J. Belkin and W. Bruce Croft, Information filtering and information retrieval: two sides of the same coin?, Communications of the ACM, Vol. 35, No.12, pp. 29-38, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. 2.G. Salton, Automatic Text Processing, Addison- Wesley, 1989. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. 3.Rocchio, J. J, Relevance feedback in information retrieval, The SMART Retrieval System, pp. 313-323, Prentice Hall, 1971.Google ScholarGoogle Scholar
  4. 4.Gerard Salton and Chris Buckley, Improving retrieval performance by relevance feedback, Journal of American Society for Information Science 41, pp. 288- 297, 1990.Google ScholarGoogle ScholarCross RefCross Ref
  5. 5.Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction, MIT Press, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. 6.David D. Lewis et al., Training algorithms for linear text classifier, In Proceedings of Special Interest Group in Information Retrieval (SIGIR-96), pp. 298- 306, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. 7.Jamie Callan, Learning while filtering documents, In Proceedings of ACM Special Interest Group in Information Retrieval (SIGIR-98), pp. 224-231, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. 8.Masahiro M. and Yoichi S., Information filtering based on user behavior analysis and best match text retrieval, In Proceedings of ACM Special Interest Group in Information Retrieval (SIGIR-94), pp. 272-281, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. 9.Pattie Maes, Agents that reduce work and information overload, Communications of the ACM, Vol. 37, No. 7, pp. 31-40, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. 10.Henry Lieberman, Letizia: An agent that assists web browsing, In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI-95), pp. 475-480, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. 11.Thorsten Joachims, Dayne Freitag, and Tom M. Mitchell, WebWatcher: A tour guide for the world wide web, In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI-97), pp. 770-775, 1997.Google ScholarGoogle Scholar
  12. 12.Masahiro M., and Yoichi S., Information filtering based on user behavior analysis and best match text retrieval, In Proceedings of ACM Special Interest Group in Information Retrieval (SIGIR-94), pp. 271- 281, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. 13.Foss, C. L., Tools for reading and browsing hypertext. Information Processing and Management, Vol. 25, pp. 407-418, 1989. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. 14.Alexandros Moukas, Amalthaea: Information discovery and filtering using a multiagent evolving ecosystem, In Practical Applications of Intelligent Agents and Multi-Agents Technology (PAAM-96), pp. 421-437, 1996.Google ScholarGoogle Scholar
  15. 15.Tom M. Mitchell, Machine Learning, McGraw-Hill, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Learning user's preferences by analyzing Web-browsing behaviors

            Recommendations

            Comments

            Login options

            Check if you have access through your login credentials or your institution to get full access on this article.

            Sign in
            • Published in

              cover image ACM Conferences
              AGENTS '00: Proceedings of the fourth international conference on Autonomous agents
              June 2000
              508 pages
              ISBN:1581132301
              DOI:10.1145/336595

              Copyright © 2000 ACM

              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 1 June 2000

              Permissions

              Request permissions about this article.

              Request Permissions

              Check for updates

              Qualifiers

              • Article

              Acceptance Rates

              Overall Acceptance Rate182of599submissions,30%

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader