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Improving the Effectiveness of a Web Site with Web Usage Mining

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Book cover Web Usage Analysis and User Profiling (WebKDD 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1836))

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Abstract

For many companies, effective web presence is indispensable for their success to the global market. In recent years, several methods have been developed for measuring and improving the effectiveness of commercial sites. However, they mostly concentrate on web page design and on access analysis. In this study, we propose a methodology of assessing the quality of a web site in turning its users into customers. Our methodology is based on the discovery and comparison of navigation patterns of customers and non-customers. This comparison leads to rules on how the site’s topology should be improved. We further propose a technique for dynamically adapting the site according to those rules.

Supported by the German Research Society, Berlin-Brandenburg Graduate School on Distributed Information Systems (DFG grant no. GRK 316)

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Author information

Authors and Affiliations

  1. Institute of Information Systems, Humboldt-University Berlin, Spandauer Str. 1, D-10178, Berlin, Germany

    Myra Spiliopoulou & Carsten Pohle

  2. Institute of Computer Science, Free University Berlin, Takustraße 9, D-14195, Berlin, Germany

    Lukas C. Faulstich

Authors
  1. Myra Spiliopoulou
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  2. Carsten Pohle
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  3. Lukas C. Faulstich
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Editor information

Editors and Affiliations

  1. Discovery and Intelligent Agents Technology, Redwood Investment Systems Inc., Boston, MA, 02110-1225, USA

    Brij Masand (Director of Knowledge) (Director of Knowledge)

  2. Institut für Wirtschaftsinformatik, Humboldt Universität zu Berlin, Spandauer Str. 1, 10178, Berlin, Germany

    Myra Spiliopoulou

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© 2000 Springer-Verlag Berlin Heidelberg

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Spiliopoulou, M., Pohle, C., Faulstich, L.C. (2000). Improving the Effectiveness of a Web Site with Web Usage Mining. In: Masand, B., Spiliopoulou, M. (eds) Web Usage Analysis and User Profiling. WebKDD 1999. Lecture Notes in Computer Science(), vol 1836. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44934-5_9

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  • DOI: https://doi.org/10.1007/3-540-44934-5_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67818-2

  • Online ISBN: 978-3-540-44934-8

  • eBook Packages: Springer Book Archive

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