High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits.
David YoungDouglas J. LeithPublished in: CoRR (2023)
Keyphrases
- cold start
- high accuracy
- recommender systems
- cold start problem
- user ratings
- collaborative filtering
- user preferences
- data sparsity
- user interface
- user profiles
- implicit feedback
- online learning
- tag recommendation
- recommendation algorithms
- end users
- labeled data
- loss function
- opinion mining
- information retrieval systems
- machine learning
- regret bounds