Customer behavior is often assumed to follow weak rationality, which implies that adding a product an assortment will not increase the choice probability of another in assortment. However, increasing amount research has revealed customers are necessarily rational when making decisions. In this paper, we propose new nonparametric model relaxes assumption and can wider range customer behavior, su...

We visit the following fundamental problem: For a ‘generic’ model of consumer choice (namely, distributions over preference lists) and a limited amount of data on how consumers actually make decisions (such as marginal preference information), how may one predict revenues from offering a particular assortment of choices? This problem is central to areas within operations research, marketing and...

Individuals make decisions under uncertainty every day. Decisions are based on incomplete information concerning the potential outcome or the predicted likelihood with which events occur. In addition, individuals’ choices often deviate from the rational or mathematically objective solution. Accordingly, the dynamics of human decision making are difficult to capture using conventional, linear ma...

Assortment optimization is an important problem that arises in many industries such as retailing and airlines where the decision maker needs to decide on an optimal subset of products to offer to maximize the expected revenue. The demand and the revenue of any product depends on the complete set of offered products since customers potentially substitute to an available product if their most pre...