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A Website Mining Model Centered on User Queries

  • Conference paper
Semantics, Web and Mining (EWMF 2005, KDO 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4289))

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Abstract

We present a model for mining user queries found within the access logs of a website and for relating this information to the website’s overall usage, structure and content. The aim of this model is to discover, in a simple way, valuable information to improve the quality of the website, allowing the website to become more intuitive and adequate for the needs of its users. This model presents a methodology of analysis and classification of the different types of queries registered in the usage logs of a website, such as queries submitted by users to the site’s internal search engine and queries on global search engines that lead to documents in the website. These queries provide useful information about topics that interest users visiting the website and the navigation patterns associated to these queries indicate whether or not the documents in the site satisfied the user’s needs at that moment.

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Author information

Authors and Affiliations

  1. Web Research Group, Technology Department, University Pompeu Fabra, Barcelona, Spain

    Ricardo Baeza-Yates & Barbara Poblete

  2. Center for Web Research, CS Department, University of Chile, Santiago, Chile

    Ricardo Baeza-Yates & Barbara Poblete

  3. Yahoo! Research, Barcelona, Spain

    Ricardo Baeza-Yates

Authors
  1. Ricardo Baeza-Yates
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  2. Barbara Poblete
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Editor information

Editors and Affiliations

  1. Department of Natural Language Processing, Institute for Computer Science, University of Leipzig,  

    Markus Ackermann

  2. Department of Computer Science, K.U. Leuven, B-3001, Heverlee, Belgium

    Bettina Berendt

  3. Dept. of Knowledge Technologies, Jozef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia

    Marko Grobelnik

  4. Knowledge & Data Engineering Group, University of Kassel, Wilhelmshöher Allee 73, D-34121, Kassel, Germany

    Andreas Hotho

  5. Jožef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia

    Dunja Mladenič

  6. Dipartimento di Informatica, Università di Bari, Via E. Orabona, 4, 70125, Bari, Italia

    Giovanni Semeraro

  7. Faculty of Computer Science, Otto-von-Guericke-University Magdeburg, Germany

    Myra Spiliopoulou

  8. Research Center L3S, Appelstr. 9a, D-30167, Hannover, Germany

    Gerd Stumme

  9. Dept. Information and Knowledge Engineering, University of Economics, Prague, Winston Churchill Sq. 4, 130 67 Praha 3, Prague, Czech Republic

    Vojtěch Svátek

  10. Human Computer Studies Lab, University of Amsterdam, Kruislaan 419, 1089, Amsterdam, VA, The Netherlands

    Maarten van Someren

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© 2006 Springer-Verlag Berlin Heidelberg

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Baeza-Yates, R., Poblete, B. (2006). A Website Mining Model Centered on User Queries. In: Ackermann, M., et al. Semantics, Web and Mining. EWMF KDO 2005 2005. Lecture Notes in Computer Science(), vol 4289. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908678_1

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  • DOI: https://doi.org/10.1007/11908678_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47697-9

  • Online ISBN: 978-3-540-47698-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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