Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations.
Zhi LiDaichi AmagataYihong ZhangTakahiro HaraShuichiro HarutaKei YonekawaMori KurokawaPublished in: CoRR (2022)
Keyphrases
- cross domain
- transfer learning
- knowledge transfer
- learning tasks
- target domain
- cross domain text classification
- labeled data
- domain adaptation
- sentiment classification
- collaborative filtering
- machine learning
- active learning
- clustering algorithm
- cross domain learning
- reinforcement learning
- graph construction
- data points
- semi supervised learning
- text categorization
- k means
- recommender systems
- domain specific
- text classification
- learning algorithm
- concept space
- information retrieval
- weighted graph
- natural language
- unlabeled data
- source domain
- spectral clustering
- learning environment