Modeling User Reviews through Bayesian Graph Attention Networks for Recommendation
Recommender systems relieve users from cognitive overloading by predicting preferred items for users. Due to the complexity of interactions between users and items, graph neural networks (GNN) use graph structures to effectively model user-item interactions. However, existing GNN approaches have the...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Association for Computing Machinery
2023
|
| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |