Models of Digital Educational Resources Indexing and Dynamic User Profile Evolution

Hamid Slimani, N. El Faddouli, S. Bennani, N. Amrous

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.

Keywords


User Profile; personalized search; classical Bayesian networks; LOM; Dewey Decimal Classification; Digital Educational Resources; indexing; Lucene engine; relevance document

Full Text:

PDF

Comments on this article

View all comments


Copyright (c) 2017 Hamid Slimani, N. El Faddouli, S. Bennani, N. Amrous


International Journal of Emerging Technologies in Learning. ISSN: 1863-0383
Creative Commons License SPARC Europe Seal
Indexing:
Web of Science ESCI logo Engineering Information logo INSPEC logo DBLP logo ELSEVIER Scopus logo EDiTLib logo EBSCO logo Ulrich's logo Google Scholar logo Microsoft® Academic Search