Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations.
Zhi LiDaichi AmagataYihong ZhangTakahiro HaraShuichiro HarutaKei YonekawaMori KurokawaPublished in: Big Data (2022)
Keyphrases
- cross domain
- transfer learning
- knowledge transfer
- domain adaptation
- learning tasks
- cross domain text classification
- target domain
- clustering algorithm
- machine learning
- sentiment classification
- semi supervised learning
- active learning
- labeled data
- learning algorithm
- multi task
- cross domain learning
- reinforcement learning
- text categorization
- graph construction
- source domain
- unsupervised learning
- k means
- collaborative filtering
- concept space
- text mining
- cross lingual
- recommender systems
- text classification
- transfer knowledge
- natural language
- feature extraction
- decision trees
- spectral clustering
- domain specific
- data sets