Cross-Domain Explainable Recommendation Using Graph Convolutional Networks and a Topic Model

Graph Convolutional Network (GCN)-based recommendation systems (RSs) have recently gained popularity for their ability to improve recommendation accuracy by utilizing neighborhood information in user-item interaction graphs. Despite their success, GCN-based systems still face two major challenges, w...

Full description

Bibliographic Details

Published in:	IEEE Access
Main Authors:	Kunyoung Kim, Mye Sohn, Jongmo Kim
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Cross-domain recommendation explainable recommendation graph convolutional network recommender system topic model
Online Access:	https://ieeexplore.ieee.org/document/11044336/