Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights.
Junchen FuFajie YuanYu SongZheng YuanMingyue ChengShenghui ChengJiaqi ZhangJie WangYunzhu PanPublished in: WSDM (2024)
Keyphrases
- empirical studies
- transfer learning
- recommender systems
- collaborative filtering
- data sparsity
- learning tasks
- knowledge transfer
- cross domain
- matrix factorization
- real world data sets
- labeled data
- empirical analysis
- target domain
- semi supervised learning
- machine learning
- domain adaptation
- active learning
- user preferences
- user profiles
- transfer knowledge
- learning algorithm
- manifold alignment
- multi task
- text categorization
- text classification
- reinforcement learning
- uci datasets
- transferring knowledge
- user interests
- machine learning algorithms
- user ratings
- text mining
- supervised learning