Models of Digital Educational Resources Indexing and Dynamic User Profile Evolution

Abstract

The modelling of the user profile and its integration into the search process is an effective way in personalized information search within a repository of educational digital resources. Therefore, it raises gradually the issue concerning the dynamic development of this profile so as the information requester sets up queries. In our approach presented in this paper, we propose two models for personalized search on digital educational resources. The first is to establish an index of repository resources while the second is to build the user profile and boost its evolution after each query submitted by the user based on a classical Bayesian network representing a search activity.