A deep learning knowledge graph neural network for recommender systems
Knowledge graphs are becoming the new state-of-the-art for recommender systems. This paper is based on knowledge graphs to alleviate the problem of data sparsity. Various methods have been recently deployed to solve this problem which largely attempts to study user-item representation and then recom...
Main Authors: | Gurinder Kaur, Fei Liu, Yi-Ping Phoebe Chen |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-12-01
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Series: | Machine Learning with Applications |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827023000609 |
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