M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation.
Zepeng HuaiYuji YangMengdi ZhangZhongyi ZhangYichun LiWei WuPublished in: CoRR (2023)
Keyphrases
- cross domain
- neural network
- recommender systems
- multi domain
- knowledge transfer
- multiple domains
- domain adaptation
- sentiment classification
- transfer learning
- music recommendation
- collaborative filtering
- tag recommendation
- text categorization
- recommendation systems
- graph structure
- data sets
- text classification
- target domain
- learning tasks
- learning experience
- high dimensional
- case study
- cross domain learning