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A Recommender System for Educational Planning Cover
Open Access
|Jun 2024

Abstract

Knowledge-based recommender systems have always had their privileged place among all Decision Support Systems (DSS), given their advantage on several points over other techniques. Our paper presents a framework implementing a hybrid form of Rule-Based Reasoning and Case-Based Reasoning (RBR-CBR), to address the rarely discussed domain of educational planning. The system has been tested and presented outstanding results with a high accuracy, which will benefit educational planners’ decision support. We have also developed a dedicated application for this project to visualize the results obtained.

DOI: https://doi.org/10.2478/cait-2024-0016 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 67 - 85
Submitted on: Jan 17, 2024
Accepted on: May 28, 2024
Published on: Jun 27, 2024
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Mustapha Skittou, Mohamed Merrouchi, Taoufiq Gadi, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.