Using Contextual Bandit models in large action spaces at Instacart

Instacart strives to provide personalized customer experiences by combining multiple considerations in product searches, such as personal relevance, popularity, price, and item availability. They have implemented a contextual bandit (CB) model to train and recommend actions that enhance the shopping experience, using context information to accurately predict the impact of actions in new contexts.