Assortment Optimization under a Mixture of Mallows Model

  title={Assortment Optimization under a Mixture of Mallows Model},
  author={Antoine D{\'e}sir and Vineet Goyal and Srikanth Jagabathula and Danny Segev and Leonard Stern},
Assortment optimization is an important problem that arises in many applications including retailing and online advertising. The goal in this problem is to determine a revenue/profit maximizing subset of products to offer from a large universe of products when customers exhibit a random substitution behavior. We suppose that demand is described by a mixture of Mallows model. This is a “smoothed” generalization of the class of sparse rank-based choice models, designed to overcome some of its key… CONTINUE READING


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