Handling Cold-Start Collaborative Filtering with Reinforcement Learning.
Hima Varsha DureddyZachary KadenPublished in: CoRR (2018)
Keyphrases
- cold start
- collaborative filtering
- reinforcement learning
- recommender systems
- data sparsity
- cold start problem
- transfer learning
- matrix factorization
- personalized recommendation
- user preferences
- user ratings
- implicit feedback
- tag recommendation
- recommendation quality
- data sparseness
- learning algorithm
- recommendation algorithms
- user interests
- recommendation systems
- user feedback
- prediction accuracy
- user profiles
- supervised learning
- active learning
- item based collaborative filtering