RTN-GNNR: Fusing Review Text Features and Node Features for Graph Neural Network Recommendation

RTN-GNNR: Fusing Review Text Features and Node Features for Graph Neural Network Recommendation

Recent recommendation systems have achieved good results by applying Graph Neural Network (GNN) to user-item interaction graphs. However, these recommendation systems can only handle structured interaction data and cannot handle unstructured review text data well. Based on the user-item interaction...

Full description

Bibliographic Details
Main Authors: Bohuai Xiao, Xiaolan Xie, Chengyong Yang, Yuhan Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Recommendation algorithm
graph neural network
review-based recommendation
multimodal data fusion
attentional mechanism
data sparsity
Online Access:https://ieeexplore.ieee.org/document/9934840/

Internet

https://ieeexplore.ieee.org/document/9934840/

Similar Items