This paper focuses on modeling users' cognitive styles based on a set of Web usage mining
techniques on user navigation patterns and clickstream data. Main aim is to investigate …

A key challenge of adaptive interactive systems is to provide a positive user experience by
extracting implicitly the users' unique characteristics through their interactions with the …

Although cooperative Web caching has been widely researched, comparatively little has
been done to reduce inter-proxy network overhead whilst allowing for a high percentage of …

Relational fuzzy clustering (RFC) algorithms prove very useful in Web user session
clustering because Web user sessions may contain fuzzy, conflicting and imprecise …

Adaptation and personalization systems build and maintain a user (and data) model
throughout the whole human-computer interaction process. A user model is an essential …

In this paper, a subtractive relational fuzzy c-medoids clustering approach is discussed to
identify web user session clusters from weblogs, based on their browsing behavior. In this …

Relational Medoid based fuzzy relational clustering (FRC) algorithms perform better than
center based FRC. However, in medoid based FRC the selection of medoid is solely random …

This paper focuses on modeling users' cognitive style based on a set of Web usage mining
techniques on navigation patterns and clickstream data. Main aim is to investigate whether k …

In this work, we present an approach for web search personalization by exploiting the
ontologies. Our approach aims to provide personalization in web search engines by …

Personalised systems and targeted services must be tailored to the characteristics of the
individual. Several categorisations for Twitter users exist, but all fail to account for the …