ROME: A Graph Contrastive Multi-View Framework From Hyperbolic Angular Space for MOOCs Recommendation

As Massive Open Online Courses (MOOCs) expand and diversify, more and more researchers study recommender systems that take advantage of interaction data to keep students interested and boost their performance. In a typical roadmap, courses and videos are recommended using a graph model, but this doe...

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Veröffentlicht in:	IEEE access 2023, Vol.11, p.9691-9700
Hauptverfasser:	Luo, Hao, Husin, Nor Azura, Aris, Teh Noranis Mohd
Format:	Artikel
Sprache:	eng
Schlagworte:	Electronic learning Euclidean geometry Euclidean space Filtering graph contrastive learning manifold learning Online instruction Recommender system Recommender systems Representations Task analysis Tensors Topology Videos
Online-Zugang:	Volltext
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