User Web Usage Mining for navigation improvisation using semantic related frequent patterns

Abstract

Web sites have abundant web usage log which provides useful information that can be used for user navigation improvisation. Traditional web site does not use this rich web usage data for any investigation. It can be used to generate efficient frequent patterns which can support in user navigation improvisation. It can also be help in re-organizing web site for efficient navigation. In this paper we propose a frequent pattern generation approach using semantic relations with user web usage data. The quality of web usage pattern generated is measured with standards methods for evaluation. Experiment results show that more precise presentation using user pattern generation can improve user navigation measures.