IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v58y2007i2p237-251.html
   My bibliography  Save this article

Automatic cognitive style identification of digital library users for personalization

Author

Listed:
  • Enrique Frias‐Martinez
  • Sherry Y. Chen
  • Xiaohui Liu

Abstract

Digital libraries have become one of the most important Web services for information seeking. One of their main drawbacks is their global approach: In general, there is just one interface for all users. One of the key elements in improving user satisfaction in digital libraries is personalization. When considering personalizing factors, cognitive styles have been proved to be one of the relevant parameters that affect information seeking. This justifies the introduction of cognitive style as one of the parameters of a Web personalized service. Nevertheless, this approach has one major drawback: Each user has to run a time‐consuming test that determines his or her cognitive style. In this article, we present a study of how different classification systems can be used to automatically identify the cognitive style of a user using the set of interactions with a digital library. These classification systems can be used to automatically personalize, from a cognitive‐style point of view, the interaction of the digital library and each of its users.

Suggested Citation

  • Enrique Frias‐Martinez & Sherry Y. Chen & Xiaohui Liu, 2007. "Automatic cognitive style identification of digital library users for personalization," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(2), pages 237-251, January.
    • Handle: RePEc:bla:jamist:v:58:y:2007:i:2:p:237-251
    DOI: 10.1002/asi.20477
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.20477
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.20477?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. John R. Hauser & Glen L. Urban & Guilherme Liberali & Michael Braun, 2009. "Website Morphing," Marketing Science, INFORMS, vol. 28(2), pages 202-223, 03-04.

    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:58:y:2007:i:2:p:237-251. 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.