Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.
Junchen FuFajie YuanYu SongZheng YuanMingyue ChengShenghui ChengJiaqi ZhangJie WangYunzhu PanPublished in: CoRR (2023)
Keyphrases
- empirical studies
- transfer learning
- recommender systems
- collaborative filtering
- data sparsity
- learning tasks
- cross domain
- real world data sets
- reinforcement learning
- matrix factorization
- knowledge transfer
- empirical analysis
- machine learning
- uci datasets
- user profiles
- user preferences
- transfer knowledge
- domain adaptation
- semi supervised learning
- labeled data
- text classification
- multi task
- active learning
- cross domain learning
- user interests
- machine learning algorithms
- text categorization
- target domain
- multi task learning
- user model
- manifold alignment
- transferring knowledge
- user ratings
- training data
- databases