IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v54y2003i2p152-160.html
   My bibliography  Save this article

Order‐based fitness functions for genetic algorithms applied to relevance feedback

Author

Listed:
  • Cristina López‐Pujalte
  • Vicente P. Guerrero‐Bote
  • Félix de Moya‐Anegón

Abstract

Recently there have been appearing new applications of genetic algorithms to information retrieval, most of them specifically to relevance feedback. The evolution of the possible solutions are guided by fitness functions that are designed as measures of the goodness of the solutions. These functions are naturally the key to achieving a reasonable improvement, and which function is chosen most distinguishes one experiment from another. In previous work, we found that, among the functions implemented in the literature, the ones that yield the best results are those that take into account not only when documents are retrieved, but also the order in which they are retrieved. Here, we therefore evaluate the efficacy of a genetic algorithm with various order‐based fitness functions for relevance feedback (some of them of our own design), and compare the results with the Ide dec‐hi method, one of the best traditional methods.

Suggested Citation

  • Cristina López‐Pujalte & Vicente P. Guerrero‐Bote & Félix de Moya‐Anegón, 2003. "Order‐based fitness functions for genetic algorithms applied to relevance feedback," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(2), pages 152-160, January.
    • Handle: RePEc:bla:jamist:v:54:y:2003:i:2:p:152-160
    DOI: 10.1002/asi.10179
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.10179
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.10179?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:jamist:v:54:y:2003:i:2:p:152-160. 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.