IDEAS home Printed from https://ideas.repec.org/a/bla/jamist/v56y2005i6p559-570.html
   My bibliography  Save this article

A temporal comparison of AltaVista Web searching

Author

Listed:
  • Bernard J. Jansen
  • Amanda Spink
  • Jan Pedersen

Abstract

Major Web search engines, such as AltaVista, are essential tools in the quest to locate online information. This article reports research that used transaction log analysis to examine the characteristics and changes in AltaVista Web searching that occurred from 1998 to 2002. The research questions we examined are (1) What are the changes in AltaVista Web searching from 1998 to 2002? (2) What are the current characteristics of AltaVista searching, including the duration and frequency of search sessions? (3) What changes in the information needs of AltaVista users occurred between 1998 and 2002? The results of our research show (1) a move toward more interactivity with increases in session and query length, (2) with 70% of session durations at 5 minutes or less, the frequency of interaction is increasing, but it is happening very quickly, and (3) a broadening range of Web searchers' information needs, with the most frequent terms accounting for less than 1% of total term usage. We discuss the implications of these findings for the development of Web search engines.

Suggested Citation

  • Bernard J. Jansen & Amanda Spink & Jan Pedersen, 2005. "A temporal comparison of AltaVista Web searching," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 56(6), pages 559-570, April.
  • Handle: RePEc:bla:jamist:v:56:y:2005:i:6:p:559-570
    DOI: 10.1002/asi.20145
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.20145
    Download Restriction: no

    File URL: https://libkey.io/10.1002/asi.20145?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. Shuk Ying Ho & David Bodoff & Kar Yan Tam, 2011. "Timing of Adaptive Web Personalization and Its Effects on Online Consumer Behavior," Information Systems Research, INFORMS, vol. 22(3), pages 660-679, September.
    2. Ortega, José Luis & Aguillo, Isidro, 2010. "Differences between web sessions according to the origin of their visits," Journal of Informetrics, Elsevier, vol. 4(3), pages 331-337.

    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:56:y:2005:i:6:p:559-570. 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.