BanditMF: Multi-Armed Bandit Based Matrix Factorization Recommender System.
Shenghao XuPublished in: CoRR (2021)
Keyphrases
- matrix factorization
- recommender systems
- multi armed bandit
- collaborative filtering
- reinforcement learning
- low rank
- data sparsity
- cold start problem
- nonnegative matrix factorization
- user profiles
- user preferences
- implicit feedback
- factorization methods
- negative matrix factorization
- cold start
- probabilistic matrix factorization
- latent factors
- regret bounds
- item recommendation