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.
Highlights
The rapid development of Internet and the increasing use of Information and Communication Technologies for Education (ICTE) led, among others, to the proliferation of Digital Educational Resources (DER) within the information retrieval systems in general and the educational content storage systems in particular
Our work has two aims, first propose an indexing model of digital educational resources inspired of the Lucene search engine and, second, describe our approach to the building and evolution of the user profile by exploiting each request operated by the user who requests the information
We divided our approach into two main phases: the first is to establish an index after the indexing operation of digital educational resources; the second phase is to build the user profile and make its evolution dynamic after each query submitted by the applicant information
Summary
The rapid development of Internet and the increasing use of Information and Communication Technologies for Education (ICTE) led, among others, to the proliferation of Digital Educational Resources (DER) within the information retrieval systems in general and the educational content storage systems in particular. The present work is a continuation in this axis of research It aims at making dynamic the development of integrated user profile in the personalized search. In order to improve searching and satisfy the information needs of the user, we propose a new indexing model inspired from a search engine, which is part of free and open-source software This is the Lucene search engine (http ://lucene.apache.org/) [8]. For the modeling of the user, we use an approach based on classical Bayesian networks to integrate the resulting profile in the process of finding information This approach deals with the dynamic evolution of this profile. We will propose research directions likely to interest future researchers in this area
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