Method for profile clustering using ontology alignment in personalized document retrieval systems

Abstract

User modeling is crucial aspect of personalized document retrieval systems. In this paper we propose to use ontology-based user profile while ontological structures are appropriate to represent dependencies between concepts in user profile. A method for clustering set of users is proposed. As a similarity measure between ontological profiles we present a novel approach using ontology alignment methods. To avoid “cold-start problem” we developed method for profile recommendation for a new user.