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