Heesang Ann

Diversified Multinomial Logit Contextual Bandits

Heesang Ann, Taehyun Hwang, Min-hwan Oh

Existing contextual multinomial logit (MNL) bandits model relevance-driven choice but ignore the potential benefits of within-assortment diversity, while submodular/combinatorial bandits encode diversity in rewards but lack structured choice probabilities. We bridge this gap with…Read more