A Maximum Margin Matrix Factorization based Transfer Learning Approach for Cross-Domain Recommendation.
Sowmini Devi VeeramachaneniArun K. PujariVineet PadmanabhanVikas KumarPublished in: Appl. Soft Comput. (2019)
Keyphrases
- cross domain
- transfer learning
- collaborative filtering
- recommender systems
- knowledge transfer
- learning tasks
- domain adaptation
- sentiment classification
- matrix factorization
- cross domain learning
- reinforcement learning
- active learning
- multi task learning
- labeled data
- cross domain text classification
- target domain
- multi task
- semi supervised learning
- text classification
- learning algorithm
- machine learning algorithms
- text categorization
- machine learning
- learning problems
- supervised learning