ROME: a graph contrastive multi-view framework from hyperbolic angular space for MOOCs recommendation

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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 d...

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Bibliographic Details
Main Authors:	Luo, Hao, Husin, Nor Azura, Mohd Aris, Teh Noranis
Format:	Article
Published:	Institute of Electrical and Electronics Engineers 2023
Online Access:	http://psasir.upm.edu.my/id/eprint/109167/

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