Computer Science – Learning
Scientific paper
2010-03-07
International Journal of Computer Science and Information Security, IJCSIS, Vol. 7, No. 2, pp. 009-014, February 2010, USA
Computer Science
Learning
Pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS February 2010, ISSN 1947 5500,
Scientific paper
In recent years, predicting the user's next request in web navigation has received much attention. An information source to be used for dealing with such problem is the left information by the previous web users stored at the web access log on the web servers. Purposed systems for this problem work based on this idea that if a large number of web users request specific pages of a website on a given session, it can be concluded that these pages are satisfying similar information needs, and therefore they are conceptually related. In this study, a new clustering approach is introduced that employs logical path storing of a website pages as another parameter which is regarded as a similarity parameter and conceptual relation between web pages. The results of simulation have shown that the proposed approach is more than others precise in determining the clusters.
Dezfouli Mashalla Abbasi
Mamosian Heidar
Rahmani Amir Masoud
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