Content-based Learning Resource Recommendation
Content-Based Learning Resource Recommendation is a recommender system approach that generates personalized learning resource suggestions by analyzing the intrinsic features of educational content and matching them to a learner's profile based on prior interactions or stated preferences.
49
Publications
1.8K
Citations
145
Authors
64
Institutions
Publications per year
2017–2026
27
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A content-based recommendation algorithm for learning resources
Jiangbo Shu, Xiaoxuan Shen, Hai Liu et al. · Multimedia Systems · 2017 · 267 citations
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Universitat Politècnica de València
Valencia, Spain
2 h-index
7 publications
102 citations
University of Malaya
Kuala Lumpur, Malaysia
2 h-index
2 publications
205 citations
Central China Normal University
Wuhan, China
2 h-index
7 publications
1.4K citations
Multimedia University
Malacca, Malaysia
2 h-index
2 publications
205 citations

Shandong Normal University
Jinan, China
2 h-index
5 publications
93 citations
P.V. Narsimha Rao Telangana Veterinary University
Hyderabad, India
1 h-index
1 publications
20 citations
Korea University
Seoul, South Korea
1 h-index
4 publications
104 citations
University of Louisville Hospital
Louisville, United States
1 h-index
2 publications
100 citations
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2 publications · 184 citations
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2 publications · 42 citations
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2 publications · 25 citations
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2 publications · 32 citations
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AICOM · 1 publications · 18 citations
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