A Transfer Learning Approach for Applying Matrix Factorization to Small ITS Datasets.
Lydia VoßCarlotta SchattenClaudia MazziottiLars Schmidt-ThiemePublished in: EDM (2015)
Keyphrases
- transfer learning
- matrix factorization
- collaborative filtering
- data sparsity
- recommender systems
- knowledge transfer
- learning tasks
- low rank
- negative matrix factorization
- reinforcement learning
- cross domain
- labeled data
- transfer knowledge
- factorization methods
- active learning
- multi task
- machine learning
- nonnegative matrix factorization
- missing data
- text classification
- small number
- multi task learning
- learning algorithm
- machine learning algorithms
- semi supervised learning
- domain adaptation
- data analysis
- bayesian networks
- similarity measure
- data sets