Multi-User Contextual Cascading Bandits for Personalized Recommendation

Jiho Park, Huiwen Jia

We introduce a Multi-User Contextual Cascading Bandit model, a new combinatorial bandit framework that captures realistic online advertising scenarios where multiple users interact…