Assortment optimization with repeated exposures and product-dependent patience cost

In this paper, we study the assortment optimization problem faced by many online retailers such as Amazon. We develop a cascade multinomial logit model , based on classic model, to capture consumers' purchasing behavior across multiple stages. Unlike most of existing studies, our allows for repeated exposures product. addition, each consumer has patience budget that is sampled from known distribution and product associated with cost which required amount cognitive efforts browsing propose an approximation solution under model.