Advancing Recommender Systems with Graph Convolutional Networks
English | 2025 | ISBN: 3031850920 | 166 Pages | PDF | 22 MB
English | 2025 | ISBN: 3031850920 | 166 Pages | PDF | 22 MB
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 creation of enriched and expressive representations.