Toward Active Learning in Cross-domain Recommender Systems.
Roberto PaganoMassimo QuadranaMehdi ElahiPaolo CremonesiPublished in: CoRR (2017)
Keyphrases
- cross domain
- recommender systems
- active learning
- transfer learning
- collaborative filtering
- multi domain
- knowledge transfer
- domain adaptation
- text categorization
- semi supervised
- sentiment classification
- matrix factorization
- labeled data
- user preferences
- learning tasks
- unlabeled data
- query intent
- target domain
- machine learning
- multiple domains
- user profiles
- cross domain learning
- semi supervised learning
- text mining
- supervised learning
- relevance feedback
- user model
- training set
- learning algorithm
- domain specific
- pairwise
- reinforcement learning
- decision trees