Learning Object Recommendation
Learning Object Recommendation is a computational method that identifies and suggests educational resources tailored to individual learners' needs, preferences, and contexts by leveraging user models and domain knowledge within the broader field of Educational Recommender Systems.
91
Publications
2.9K
Citations
227
Authors
107
Institutions
Publications per year
2017–2026
35
91
PLORS: a personalized learning object recommender system
Mohammad Belghis-Zadeh, Ting‐Wen Chang, Kinshuk Kinshuk et al. · Vietnam Journal of Computer Science · 2015 · 108 citations · Full text
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Arab Academy for Science, Technology, and Maritime Transport, Egypt
3 publications · 119 citations
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3
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3
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1–5 of 227
107

Universidad Politécnica de Madrid
Madrid, Spain
5 h-index
17 publications
359 citations
National Cheng Kung University
Tainan City, Taiwan
4 h-index
15 publications
817 citations
Universidade Federal do Rio Grande do Sul
Porto Alegre, Brazil
4 h-index
8 publications
109 citations
Universidad Nacional de Colombia
Bogotá, Colombia
3 h-index
6 publications
98 citations

University of Piraeus
Piraeus, Greece
3 h-index
4 publications
99 citations

Universidad de Alcalá
Alcalá de Henares, Spain
3 h-index
7 publications
341 citations
Universidad Complutense de Madrid
Madrid, Spain
3 h-index
7 publications
142 citations
Universidade Federal de Uberlândia
Uberlândia, Brazil
3 h-index
15 publications
575 citations
1–8 of 107
4 publications · 133 citations
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3 publications · 83 citations
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2 publications · 104 citations
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Repository · 2 publications · 42 citations
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2 publications · 39 citations
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