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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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 135; p. 108792
Main Authors:	Kaur, Gurinder, Liu, Fei, Phoebe Chen, Yi-Ping
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.09.2024
Subjects:	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 Access:	Get full text
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