Web personalization by assimilating usage data and semantics expressed in ontology terms

Abstract

The glitch of providing recommendations to the visitors of a web site has received a significant amount of attention in recent years. To address this requirement, web sites provide personalized recommendations to the end users. When a personalization system relies solely on usage-based results, however, valuable information conceptually related to what is finally recommended may be missed. Moreover, the structural properties of the web site are often disregarded. So such a personalization system is required that integrates usage data with content semantics, expressed in ontology terms, in order to compute semantically enhanced navigational patterns and effectively generate useful recommendations.