Recommendation Method for MOOC Based on Graph Contrastive Learning

With the rapid development of MOOC education platforms, the number of courses and users have increased sharply, and learners often have no way to start when studying a wide variety of courses.The application of traditional recommendation methods in MOOC recommendation has a poor recommendation effec...

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Bibliografiske detaljer

Hovedforfatter:	WANG Shuyan, GUO Ruihan, SUN Jiaze
Format:	Artigo
Sprog:	Inglês
Udgivet:	Editorial Office of Computer Engineering 2023-01-01
Serier:	Jisuanji gongcheng
Fag:	mooc recommendation|graph convolution network(gcn)|self-supervised learning|personalized recommendation|graph contrastive learning
Online adgang:	https://www.ecice06.com/fileup/1000-3428/PDF/20230107.pdf
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