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...

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Vydáno v:	Mathematics (Basel) Ročník 10; číslo 5; s. 721
Hlavní autoři:	Xiao, Yan, Li, Congdong, Liu, Vincenzo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.03.2022
Témata:	Algorithms Artificial neural networks Cold Collaboration Data compression Deep learning DeepFM DNN GCN Graph neural networks Graph representations Knowledge knowledge graph Knowledge representation Machine learning Methods Neural networks Performance enhancement recommendation systems Recommender systems representation learning Semantics Social networks User behavior
ISSN:	2227-7390, 2227-7390
On-line přístup:	Získat plný text
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