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Abstract: In recent years, predicting the user-s next request in web navigation hasreceived much attention. An information source to be used for dealing with suchproblem is the left information by the previous web users stored at the webaccess log on the web servers. Purposed systems for this problem work based onthis idea that if a large number of web users request specific pages of awebsite on a given session, it can be concluded that these pages are satisfyingsimilar information needs, and therefore they are conceptually related. In thisstudy, a new clustering approach is introduced that employs logical pathstoring of a website pages as another parameter which is regarded as asimilarity parameter and conceptual relation between web pages. The results ofsimulation have shown that the proposed approach is more than others precise indetermining the clusters.



Autor: Heidar Mamosian, Amir Masoud Rahmani, Mashalla Abbasi Dezfouli

Fuente: https://arxiv.org/







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