High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits

Abstract

We develop a novel latent-bandit algorithm for tackling the cold-start problem for new users joining a recommender system. This new algorithm significantly outperforms the state of the art, simultaneously achieving both higher accuracy and lower regret.

Tasks

Reproductions