DFM-GCN: A Multi-Task Learning Recommendation Based on a Deep Graph Neural Network
Among the inherent problems in recommendation systems are data sparseness and cold starts; the solutions to which lie in the introduction of knowledge graphs to improve the performance of the recommendation systems. The results in previous research, however, suffer from problems such as data compres...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
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Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/5/721 |