IDEAS home Printed from https://ideas.repec.org/a/bla/jamest/v50y1999i9p760-771.html
   My bibliography  Save this article

A fuzzy genetic algorithm approach to an adaptive information retrieval agent

Author

Listed:
  • María J. Martín‐Bautista
  • María‐Amparo Vila
  • Henrik Legind Larsen

Abstract

We present an approach to a Genetic Information Retrieval Agent Filter (GIRAF) for documents from the Internet using a genetic algorithm (GA) with fuzzy set genes to learn the user's information needs. The population of chromosomes with fixed length represents such user's preferences. Each chromosome is associated with a fitness that may be considered the system's belief in the hypothesis that the chromosome, as a query, represents the user's information needs. In a chromosome, every gene characterizes documents by a keyword and an associated occurrence frequency, represented by a certain type of a fuzzy subset of the set of positive integers. Based on the user's evaluation of the documents retrieved by the chromosome, compared to the scores computed by the system, the fitness of the chromosomes is adjusted. A prototype of GIRAF has been developed and tested. The results of the test are discussed, and some directions for further works are pointed out.

Suggested Citation

  • María J. Martín‐Bautista & María‐Amparo Vila & Henrik Legind Larsen, 1999. "A fuzzy genetic algorithm approach to an adaptive information retrieval agent," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 50(9), pages 760-771.
    • Handle: RePEc:bla:jamest:v:50:y:1999:i:9:p:760-771
    DOI: 10.1002/(SICI)1097-4571(1999)50:93.0.CO;2-O
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/(SICI)1097-4571(1999)50:93.0.CO;2-O
    Download Restriction: no
    File URL: https://libkey.io/10.1002/(SICI)1097-4571(1999)50:93.0.CO;2-O?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jamest:v:50:y:1999:i:9:p:760-771. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.