Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks.
Xuelian NiFei XiongYutian HuShirui PanHongshu ChenLiang WangPublished in: SDM (2022)
Keyphrases
- transfer learning
- recommender systems
- collaborative filtering
- data sparsity
- learning tasks
- knowledge transfer
- cross domain
- active learning
- matrix factorization
- multi task learning
- user preferences
- labeled data
- structure learning
- transfer knowledge
- machine learning
- domain adaptation
- reinforcement learning
- manifold alignment
- semi supervised learning
- machine learning algorithms
- target domain
- real world
- user profiles
- text categorization
- relevance feedback
- multi task
- text classification
- semi supervised
- pairwise
- object recognition
- learning algorithm
- user model
- dimensionality reduction
- data sets
- transferring knowledge
- cross domain learning
- algorithmic information theory