A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning.
Ke XuZiliang WangWei ZhengYuhao MaChenglin WangNengxue JiangCai CaoPublished in: ICDM (2022)
Keyphrases
- transfer learning
- cross domain
- knowledge transfer
- multi source
- cross domain learning
- domain adaptation
- sentiment classification
- learning tasks
- machine learning
- transfer knowledge
- semi supervised learning
- source domain
- target domain
- prior knowledge
- text categorization
- unlabeled data
- text classification
- active learning
- cross domain text classification