Inference-Based user’s Recommendation in E-Learning Systems

Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 4

Abstract

This paper proposes a technique of user’s recommendation for Elearning systems, which makes it possible to identify the best qualified profiles in a given field, the method is based on artificial intelligence in order to make connection between the knowledge expressed explicitly on a learner profile and a special need of another learner, not necessarily expressed on that profile, but which can be deduced through mechanism of inference.

Authors and Affiliations

Youssef Elouahby, Rachid Elouahbi

Keywords

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  • EP ID EP308976
  • DOI 10.14738/tmlai.54.3198
  • Views 59
  • Downloads 0

How To Cite

Youssef Elouahby, Rachid Elouahbi (2017). Inference-Based user’s Recommendation in E-Learning Systems. Transactions on Machine Learning and Artificial Intelligence, 5(4), 318-324. https://europub.co.uk./articles/-A-308976