Utilizing transfer learning for in-domain collaborative filtering.
Edita GrolmanAriel BarBracha ShapiraLior RokachAviram DayanPublished in: Knowl. Based Syst. (2016)
Keyphrases
- transfer learning
- collaborative filtering
- data sparsity
- cross domain
- learning tasks
- recommender systems
- knowledge transfer
- domain adaptation
- matrix factorization
- target domain
- structure learning
- transfer knowledge
- manifold alignment
- user preferences
- reinforcement learning
- multi task learning
- neural network
- multi task
- text categorization
- semi supervised learning
- domain specific
- active learning
- databases
- machine learning algorithms
- user interests
- user profiles
- unlabeled data
- labeled data
- knowledge discovery
- pairwise
- algorithmic information theory