Techniques and metrics for improving website structure

Authors:
Eleni Christopoulou;John Garofalakis;Christos Makris;Yannis Panagis;Athanasios Psaras-Chatzigeorgiou;Evangelos Sakkopoulos;Athanasios Tsakalidis
Affiliations:
Department of Computer Engineering & Informatics, School of Engineering, University of Patras, Patras, Greece and Research Academic Computer Technology Institute, Internet and Multimedia Techn ...;Department of Computer Engineering & Informatics, School of Engineering, University of Patras, Patras, Greece and Research Academic Computer Technology Institute, Internet and Multimedia Techn ...;Department of Computer Engineering & Informatics, School of Engineering, University of Patras, Patras, Greece and Research Academic Computer Technology Institute, Internet and Multimedia Techn ...;Department of Computer Engineering & Informatics, School of Engineering, University of Patras, Patras, Greece and Research Academic Computer Technology Institute, Internet and Multimedia Techn ...;Department of Computer Engineering & Informatics, School of Engineering, University of Patras, Patras, Greece;Department of Computer Engineering & Informatics, School of Engineering, University of Patras, Patras, Greece and Research Academic Computer Technology Institute, Internet and Multimedia Techn ...;Department of Computer Engineering & Informatics, School of Engineering, University of Patras, Patras, Greece and Research Academic Computer Technology Institute, Internet and Multimedia Techn ...
Venue:
Journal of Web Engineering
Year:
2003

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Abstract

Evaluation of the link structure of a web site and its redefinition to achieve increased efficiency with regard to easier information retrieval is a common problem in website development. Nevertheless much effort has been devoted in order to analyze the overall statistical properties of a web site, rather than to assess the actual value of its pages. In this paper two distinct metrics are proposed, which aim to quantify the importance of a web page based on the visits it receives by the users and its location within the website. Subsequently, certain guidelines are presented, which can be used to reorganize the website, taking into account the optimization of these metrics. Finally we evaluate the proposed algorithms using real-world website data and verify that they exhibit more elaborate behavior than a related simpler technique.