Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation.
Adit KrishnanMahashweta DasMangesh BendreHao YangHari SundaramPublished in: SIGIR (2020)
Keyphrases
- cross domain
- transfer learning
- collaborative filtering
- recommender systems
- learning tasks
- knowledge transfer
- domain adaptation
- sentiment classification
- labeled data
- semi supervised learning
- cross domain text classification
- cross domain learning
- reinforcement learning
- machine learning
- transfer knowledge
- active learning
- target domain
- context sensitive
- learning algorithm
- multi task
- machine learning algorithms
- text categorization
- text classification
- data analysis
- data distribution
- unlabeled data
- label information
- case study