A Semantic Recommender System for Adaptive Learning

被引：15
|
作者：
Montuschi, Paolo [1 ]
Lamberti, Fabrizio [1 ]
Gatteschi, Valentina [1 ]
Demartini, Claudio [1 ]
机构：
[1] Politecn Torino, Dept Control & Comp Engn, I-10129 Turin, Italy
来源：
IT PROFESSIONAL | 2015年 / 17卷 / 05期
关键词：
adaptive learning and mentoring; European Qualification Framework; recommender systems; semantics;
D O I：
10.1109/MITP.2015.75
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Individuals must continuously update their qualification levels to stay relevant in today's market. The authors' semantic-based recommender system crosses heterogeneous information about individuals' backgrounds and advertised jobs with an online course catalog to identify appropriate learning resources.
引用
收藏
页码：50 / 58
页数：9
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