IDEAS home Printed from https://ideas.repec.org/a/igg/jswis0/v16y2020i2p91-107.html
   My bibliography  Save this article

Context-Aware Personalized Web Search Using Navigation History

Author

Listed:
  • Wiem Chebil

    (MARS Research Laboratory, University of Sousse, Tunisia)

  • Mohammad O. Wedyan

    (Faculty of Engineering and Information Technology, University of Technology Sydney, Australia)

  • Haiyan Lu

    (University of Technology Sydney, Australia)

  • Omar Ghaleb Elshaweesh

    (University of Technology Sydney, Australia)

Abstract

It is highly desirable that web search engines know users well and provide just what the user needs. Although great effort has been devoted to achieve this dream, the commonly used web search engines still provide a “one-fit-all” results. One of the barriers is lack of an accurate representation of user search context that supports personalised web search. This article presents a method to represent user search context and incorporate this representation to produce personalised web search results based on Google search results. The key contributions are twofold: a method to build contextual user profiles using their browsing behaviour and the semantic knowledge represented in a domain ontology; and an algorithm to re-rank the original search results using these contextual user profiles. The effectiveness of proposed new techniques were evaluated through comparisons of cases with and without these techniques respectively and a promising result of 35% precision improvement is achieved.

Suggested Citation

  • Wiem Chebil & Mohammad O. Wedyan & Haiyan Lu & Omar Ghaleb Elshaweesh, 2020. "Context-Aware Personalized Web Search Using Navigation History," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 16(2), pages 91-107, April.
    • Handle: RePEc:igg:jswis0:v:16:y:2020:i:2:p:91-107
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSWIS.2020040105
    Download Restriction: no
    ---><---

    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:igg:jswis0:v:16:y:2020:i:2:p:91-107. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.