A User-State Based Interest Transfer Network for Cross-Domain Recommendation.
Pingjun PanJialu WangTingting ZhouWenyu YangHongxiang ChenPublished in: WWW (Companion Volume) (2024)
Keyphrases
- cross domain
- knowledge transfer
- transfer learning
- collaborative filtering
- recommender systems
- user preferences
- individual user
- text categorization
- sentiment classification
- multi domain
- cross domain learning
- domain adaptation
- multiple domains
- user behavior
- recommendation systems
- learning tasks
- user interests
- learning process
- user model
- data sets
- user profiles
- e government
- recommendation algorithms
- natural language processing
- active learning
- web image annotation
- neural network