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Information Filtering

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Encyclopedia of Database Systems

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Synonyms

IF; Push transactions; SDI, Selective dissemination of information

Definition

Information retrieval (IR) and information filtering (IF) are strongly related [3,5]. Information retrieval indexes a large set of documents and when a user asks a query, answers are extracted out of this set. Information filtering processes a stream of documents and for each document arriving in the system a comparison is made with one or more filtering profiles provided by users and in case of a match the document is sent to the user who created the profile. Applications of information filtering are found in competitive intelligence or technology watch. Another way of filtering is to send the document to the user only if the match is negative. This is useful for applications such as child protection or anti-spam.

Another difference is that IR queries are short, for immediate use, with answers expected as if in a conversational mode (in less than few seconds). For Information filtering, queries are...

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Recommended Reading

  1. Allan J. Incremental relevance feedback for information filtering. In: Proceedings 19th annual international ACM SIGIR conference on research and development in information retrieval. 1996. p. 18–22.

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  2. Alsaffar AH, Deogun J, Sever H. Optimal queries in information filtering. In: Proceedings 12th international symposium foundations intelligent systems, vol 1932. 2000. p. 435–43. In Proceedings of the LNCS.

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  3. Belkin NJ, Croft WB. Information filtering and information retrieval: two sides of the same coin? Commun ACM. 1992;35(12):29–38.

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  4. Brandenberg W, Fallon HC, Hensley CB, Savage TR, Sowarby AJ. The SDI-2 system. IBM advance system development division report, Yorktown-Heights, 17–031. 1961.

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  5. Hanani U, Shapira B, Shoval P. Information filtering: overview of issues, research and systems. User Model User Adapt Inter. 2001;11:203–59. Springer Netherland

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  6. Rocchio JJ. Chapter XIV. Relevance feedback in information retrieval. In: Salton G, editor. The SMART retrieval system: experiments in automatic document processing. Englewood Cliffs: Prentice-Hall; 1971. p. 313–23.

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  7. Soboroff I, Robertson S. Building a filtering test collection for TREC 2002. In: Proceedings 26th annual international ACM SIGIR conference on research and development in information retrieval. 2003. p. 243–50.

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  8. Van Rijsbergen K. Information retrieval. 2nd ed. London: Butterworworths; 1979.

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

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Author information

Authors and Affiliations

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

    Christian Fluhr

Authors
  1. Christian Fluhr
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Corresponding author

Correspondence to Christian Fluhr .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. Library, Archival & Inf. Studies, The Univ. of British Columbia, Suite 470 - 1961 East Mall, V6T 1Z1, Vancouver, British Columbia, Canada

    Edie Rasmussen

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Fluhr, C. (2016). Information Filtering. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_951-2

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  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_951-2

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  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4899-7993-3

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