Inference-based User’s Recommendation in E-learning Systems

Authors

  • Youssef Elouahby Faculty of Sciences Moulay Ismail University Meknès, Maroc
  • Rachid Elouahbi Computer science Laboratory, Faculty of Science Moulay Ismail University Meknès, Maroc

DOI:

https://doi.org/10.14738/tmlai.54.3198

Keywords:

E-learning, recommendation of users, artificial intelligence, Inference, Semantic Web.

Abstract

This paper proposes a technique of user’s recommendation for E-learning 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.

References

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Published

2017-09-01

How to Cite

Elouahby, Y., & Elouahbi, R. (2017). Inference-based User’s Recommendation in E-learning Systems. Transactions on Machine Learning and Artificial Intelligence, 5(4). https://doi.org/10.14738/tmlai.54.3198

Issue

Section

Special Issue : 1st International Conference on Affective computing, Machine Learning and Intelligent Systems