PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback.
Feng LiangWei DaiYunfeng HuangWeike PanZhong MingPublished in: IJCNN (2020)
Keyphrases
- transfer learning
- collaborative filtering
- user preferences
- data sparsity
- learning tasks
- recommender systems
- knowledge transfer
- cross domain
- labeled data
- reinforcement learning
- machine learning
- active learning
- semi supervised learning
- domain adaptation
- multi task learning
- manifold alignment
- text mining
- transfer knowledge
- multi task
- text classification
- unlabeled data
- machine learning algorithms
- transferring knowledge
- structure learning
- target domain
- user profiles
- supervised learning
- learning algorithm
- semi supervised
- decision trees
- real world