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.
@article{arxiv.2305.18305,
title = {High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits},
author = {David Young and Douglas Leith},
journal= {arXiv preprint arXiv:2305.18305},
year = {2023}
}