Skip to main content
SpringerLink
Log in

Information Filtering

  • Reference work entry
Book cover Encyclopedia of Database Systems

  • 116 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 2,500.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Allan J. Incremental relevance feedback for information filtering. In Proc. 19th Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, 1996, pp. 18–22.

    Google Scholar 

  2. Alsaffar A.H., Deogun J., and Sever H. 2000, 1Optimal queries in information filtering, In Proc. 12th Int. Symp. Foundations Intelligent Syst., vol 1932, pp. 435–443. In Proceedings of the LNCS,

    Google Scholar 

  3. Belkin N.J. and Croft W.B. Information filtering and information retrieval: two sides of the same coin? Commun. ACM, 35(12):29–38, December 1992.

    Article  Google Scholar 

  4. Brandenberg W., Fallon H.C., Hensley C.B., Savage T.R., and Sowarby A.J. The SDI-2 system. IBM advance system Development Division report, Yorktown-Heights, NY, 17–031, April 1961.

    Google Scholar 

  5. Hanani U., Shapira B., and Shoval P. Information filtering: overview of issues, research and systems. User Model. User-adapt. Interact. 11:203–259, 2001. Springer Netherland,

    Article  MATH  Google Scholar 

  6. Rocchio J.J. 1971, G. Salton (ed.). 1The SMART retrieval system: experiments in automatic document processing, Chapter XIV. Relevance feedback in information retrieval, Prentice-Hall, NJ, pp. 313–323.

    Google Scholar 

  7. Soboroff I. Robertson S. Building a filtering test collection for TREC 2002, In Proc. 26th Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, pp. 243–250.2003,

    Google Scholar 

  8. Van Rijsbergen K. Information retrieval, (2nd ed.). Butterworworths, London, 1979.

    Google Scholar 

  9. Yang Y., An evaluation of statistical approach to text categorization, report CMU-CS-97-127, Carnegie Mellon University, 1997.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. CEA LIST, Fontenay-aux, Roses, France

    Christian Fluhr

Authors
  1. Christian Fluhr
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

    LING LIU (Professor) (Professor)

  2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

    M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer Science+Business Media, LLC

About this entry

Cite this entry

Fluhr, C. (2009). Information Filtering. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_951

Download citation

Publish with us

Policies and ethics

Search

Navigation