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

页码：67 / 85

页数：19

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