Temporal rules for predicting user navigation in the mobile web

Martin Halvey, Mark T. Keane, Barry Smyth

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)


    Numerous systems attempt to predict user navigation on the Internet through the use of past behavior, preferences and environmental factors. However many of these models have shortcomings, in that they do not take into account that browsers may have several different sets of preferences. Here we investigate time as an environmental factor in predicting user navigation in the Internet. We present methods for creating temporal rules that describe user navigation patterns. We also show the advantage of using these rules to predict user navigation and also illustrate the benefits of these models over traditional methods. An analysis is carried out on a sample of usage logs for Wireless Application Protocol (WAP) browsing, and the results of this analysis verify our theory.
    Original languageEnglish
    Title of host publicationAdaptive Hypermedia and Adaptive Web-Based Systems
    Subtitle of host publication4th International Conference, AH 2006, Dublin, Ireland, June 21-23, 2006, Proceedings
    EditorsHelen Ashman, Barry Smyth, Vincent Wade
    Place of PublicationBerlin
    Number of pages10
    ISBN (Electronic)9783540346975
    ISBN (Print)9783540346968
    Publication statusPublished - 21 Jun 2006

    Publication series

    NameLecture Notes in Computer Science


    • user navigation
    • internet
    • protocols
    • WAP


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