Work

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

Year: 2017

Type: article

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.

Source: Transactions on Machine Learning and Artificial Intelligence

DOI: 10.14738/tmlai.54.3198

Authors: Youssef Elouahby, Rachid Elouahbi

Institution: Université Moulay Ismail de Meknes

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: diamond

OpenAlex ID: W2760748474

FWCI:

Cites: 7

Cited by:

Related to: 10