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Optimizing WebPage Interest

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Advances in Information Retrieval Theory (ICTIR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5766))

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Abstract

In the rapidly evolving and growing environment of the internet, web site owners aim to maximize interest for their web site. In this article we propose a model, which combines the static structure of the internet with activity based data, to compute an interest based ranking. This ranking can be used to gain more insight into the flow of users over the internet, optimize the position of a web site and improve strategic decisions and investments. The model consists of a static centrality based component and a dynamic activity based component. The components are used to create a Markov Model in order to compute a ranking.

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Author information

Authors and Affiliations

  1. Institute for Computing and Information Sciences, Radboud University, Nijmegen, The Netherlands

    Willem Elbers & Theo van der Weide

Authors
  1. Willem Elbers
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  2. Theo van der Weide
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Editor information

Editors and Affiliations

  1. Department of Computing Science, Sir Alwyn Williams Building, Lilybank Gardens, University of Glasgow, G12 8QQ, Glasgow, Scotland, UK

    Leif Azzopardi

  2. Microsoft Research Ltd, 7 JJ Thomson Avenue, CB3 0FB, Cambridge, UK

    Gabriella Kazai  & Stephen Robertson  & 

  3. Knowledge Media Institute,, The Open University, MK7 6AA, Milton Keynes, UK

    Stefan Rüger

  4. Microsoft Research Ltd, 7 JJ Thomson Avenue, CB3 0FB, Cambridge, United Kingdom

    Milad Shokouhi  & Emine Yilmaz  & 

  5. School of Computing, The Robert Gordon University, St Andrew Street, AB25 1HG, Aberdeen, UK

    Dawei Song

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© 2009 Springer-Verlag Berlin Heidelberg

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Elbers, W., van der Weide, T. (2009). Optimizing WebPage Interest. In: Azzopardi, L., et al. Advances in Information Retrieval Theory. ICTIR 2009. Lecture Notes in Computer Science, vol 5766. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04417-5_33

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  • DOI: https://doi.org/10.1007/978-3-642-04417-5_33

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04416-8

  • Online ISBN: 978-3-642-04417-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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