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DOI: 10.14569/IJACSA.2018.090825
PDF

Intelligent Model Conception Proposal for Adaptive Hypermedia Systems

Author 1: Mehdi TMIMI
Author 2: Mohamed BENSLIMANE
Author 3: Mohammed BERRADA
Author 4: Kamar OUAZZANI

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 8, 2018.

  • Abstract and Keywords
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Abstract: The context of this article is to study and propose solutions for the major problems of adaptive hypermedia systems. In fact, the works and models proposed for these systems are made according to the tradition of studying first theories and rules, then modeling and designing a system that implements them. As a result, adaptive hypermedia systems designed reflect and support only the elements and information that were studied during the design phase. Also, these systems require a huge amount of data to power their architecture in order to start operating. This famous problem is called “cold start” and until now represents a challenge. So, in this paper, we will propose an intelligent and flexible model inspired by human nature and that proposes a promising solution to these problems concerning hypermedia adaptive systems.

Keywords: Adaptive hypermedia; artificial intelligence; deep learning; learner model; domain model; adaptation model; brain; neuron

Mehdi TMIMI, Mohamed BENSLIMANE, Mohammed BERRADA and Kamar OUAZZANI. “Intelligent Model Conception Proposal for Adaptive Hypermedia Systems”. International Journal of Advanced Computer Science and Applications (IJACSA) 9.8 (2018). http://dx.doi.org/10.14569/IJACSA.2018.090825

@article{TMIMI2018,
title = {Intelligent Model Conception Proposal for Adaptive Hypermedia Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090825},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090825},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {8},
author = {Mehdi TMIMI and Mohamed BENSLIMANE and Mohammed BERRADA and Kamar OUAZZANI}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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