VMF-GCN: A music recommendation model integrating Variational Matrix Factorization and Graph Convolutional Networks

With the rapid development of digital streaming platforms, music recommendation systems have become increasingly important. However, existing methods face significant challenges in handling the inherent uncertainty and noise in user behavior data and often fail to effectively capture high-order inte...

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Detalhes bibliográficos

Principais autores:	Xiao Han, Jiawei Xu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-04-01
coleção:	Alexandria Engineering Journal
Assuntos:	Music recommendation systems Matrix factorization Graph convolutional networks Variational autoencoder
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S111001682600181X
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