IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v54y2003i13p1175-1192.html
   My bibliography  Save this article

A comprehensive and systematic model of user evaluation of Web search engines: I. Theory and background

Author

Listed:
  • Louise T. Su

Abstract

The project proposes and tests a comprehensive and systematic model of user evaluation of Web search engines. The project contains two parts. Part I describes the background and the model including a set of criteria and measures, and a method for implementation. It includes a literature review for two periods. The early period (1995–1996) portrays the settings for developing the model and the later period (1997–2000) places two applications of the model among contemporary evaluation work. Part II presents one of the applications that investigated the evaluation of four major search engines by 36 undergraduates from three academic disciplines. It reports results from statistical analyses of quantitative data for the entire sample and among disciplines, and content analysis of verbal data containing users' reasons for satisfaction. The proposed model aims to provide systematic feedback to engine developers or service providers for system improvement and to generate useful insight for system design and tool choice. The model can be applied to evaluating other compatible information retrieval systems or information retrieval (IR) techniques. It intends to contribute to developing a theory of relevance that goes beyond topicality to include value and usefulness for designing user‐oriented information retrieval systems.

Suggested Citation

  • Louise T. Su, 2003. "A comprehensive and systematic model of user evaluation of Web search engines: I. Theory and background," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 54(13), pages 1175-1192, November.
    • Handle: RePEc:bla:jamist:v:54:y:2003:i:13:p:1175-1192
    DOI: 10.1002/asi.10303
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.10303
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.10303?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. Azzah Al‐Maskari & Mark Sanderson, 2010. "A review of factors influencing user satisfaction in information retrieval," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(5), pages 859-868, May.

    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:13:p:1175-1192. 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.