Time based patterns in mobile-internet surfing

Martin Halvey, Mark T. Keane, Barry Smyth

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

    43 Citations (Scopus)


    In this paper we investigate environmental factors that can result in users having different preferences and behaviors at different times of the day. An analysis is carried out of a large sample of user data for Wireless Application Protocol (WAP) browsing to determine whether user surfing patterns vary depending on time. We examine traffic on an hourly and daily basis, and show that accesses to particular categories of pages vary relative to time. We also build Markov models, which are temporal; to predict user navigation, and illustrate those predictive models are more accurate and beneficial to mobile Internet users than traditional methods. This analysis provides insight into improving the effectiveness and efficiency of navigation prediction.
    Original languageEnglish
    Title of host publication2006 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    EditorsRebecca Grinter, Thomas Rodden, Paul Aoki, Ed Cutrell, Robin Jeffries, Gary Olsen
    Place of PublicationNew York, USA
    PublisherAssociation for Computing Machinery (ACM)
    Number of pages4
    ISBN (Print)1595933727
    Publication statusPublished - 2006


    • WAP
    • Markov models
    • mobile internet
    • user navigation


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