The integration of knowledge graph convolution network with denoising autoencoder

The knowledge graph convolution network (KGCN) is a recommendation model that provides a set of top recommendations based on knowledge graph developed between users, items, and their attributes. In this study, we integrate the KGCN model with denoising autoencoder (DAE) to improve its recommendation...

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Vydané v:	Engineering applications of artificial intelligence Ročník 135; s. 108792
Hlavní autori:	Kaur, Gurinder, Liu, Fei, Phoebe Chen, Yi-Ping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.09.2024
Predmet:	Denoising autoencoder Latent features representation Meta feature learning Recommender system Denoising autoencoder Latent features representation Recommender system Meta feature learning
ISSN:	0952-1976, 1873-6769
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