Representation and evolution of user profile in information retrieval based on bayesian approach

Abstract

In the web personalization how to represent user profile is one of the key issues. The user profile refers to his/her interests which change over time. This paper, presents a personalized search approach for representation and evolution of the user profile, based on dynamic bayesian network. The theoretical framework provided by these networks allows to infer and to evolve the user profile from his /her interactions with the search system. An experimental evaluation was designed to appraise the exploitation impact of the user profile defined by his/her interests on the search results relevance. © 2014 Springer International Publishing.