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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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 135; S. 108792
Hauptverfasser:	Kaur, Gurinder, Liu, Fei, Phoebe Chen, Yi-Ping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2024
Schlagworte:	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
Online-Zugang:	Volltext
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