Models of Digital Educational Resources Indexing and Dynamic User Profile Evolution

Authors

  • Hamid Slimani RIME TEAM-Networking, Modeling and e-Learning- LRIE Laboratory- Research in Computer Science and Education Laboratory Mohammadia School of Engineers (EMI) - Mohammed Vth University Agdal AV. Ibn Sina Agdal Rabat BP. 765 Morocco
  • N. El Faddouli
  • S. Bennani
  • N. Amrous

DOI:

https://doi.org/10.3991/ijet.v11i01.4932

Keywords:

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

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.

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Published

2016-02-01

How to Cite

Slimani, H., El Faddouli, N., Bennani, S., & Amrous, N. (2016). Models of Digital Educational Resources Indexing and Dynamic User Profile Evolution. International Journal of Emerging Technologies in Learning (iJET), 11(01), pp. 26–32. https://doi.org/10.3991/ijet.v11i01.4932

Issue

Vol. 11 No. 01 (2016)

Section

Papers

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