An information theoretic web site navigability classification

Authors:
Cheng-Tzu Wang;Chih-Chung Lo;Chia-Hsien Tseng;Jong-Ming Chang
Affiliations:
Department of Computer Science, National Taipei University of Education, Taipei, Taiwan, R. O. C.;Department of Informatics, Fo-Gung University, Yilan, Taiwan, R. O. C.;Department of Computer Science, National Taipei University of Education, Taipei, Taiwan, R. O. C.;Yilan County Government, Yilan, Taiwan, R. O. C.
Venue:
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part II
Year:
2010

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Abstract

Usability is critical to the success of a web sit and good navigability enhances the usability. Hence the navigability is the most important issue in web sit design. Many navigability measures have been proposed with different aspects. Applying information theory, we propose a simple Markov model to represent the structure of a web site and use the users' log data to classify types of web pages in the model. Based on the web page classification, page navigability can be improved. The experimental results show that our model can provide effective measure and right classification.