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Advancing Recommender Systems with Graph Convolutional Networks

This book systematically examines scalability and effectiveness challenges related to the application of graph convolutional networks (GCNs) in recommender systems. By effectively modeling graph structures, GCNs excel in capturing high-order relationships between users and items, enabling the creati...

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Bibliografische gegevens
Hoofdauteurs:	Liu, Fan (Auteur), Nie, Liqiang (Auteur)
Coauteur:	SpringerLink (Online service)
Formaat:	Elektronisch E-boek
Taal:	Engels
Gepubliceerd in:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Editie:	1st ed. 2025.
Onderwerpen:	Information storage and retrieval systems. Artificial intelligence. Neural networks (Computer science) . Information Storage and Retrieval. Artificial Intelligence. Mathematical Models of Cognitive Processes and Neural Networks.
Online toegang:	https://doi.org/10.1007/978-3-031-85093-6
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!

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