A Recommender System for Educational Planning

被引：0
|
作者：
Skittou, Mustapha [1 ]
Merrouchi, Mohamed [1 ]
Gadi, Taoufiq [1 ]
机构：
[1] Hassan First Univ Settat, Fac Sci & Tech, Lab Math Comp & Engn Sci MISI, Settat 26000, Morocco
来源：
CYBERNETICS AND INFORMATION TECHNOLOGIES | 2024年 / 24卷 / 02期
关键词：
Recommender system; Knowledge-based system; Rule-based reasoning; Case-based reasoning; Hybrid system; Educational planning;
D O I：
10.2478/cait-2024-0016
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：67 / 85
页数：19
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