A New Approach to Modeling Choice with Limited Data
نویسندگان
چکیده
We visit the following 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 is a central problem in operations research and marketing. We present a framework to answer such questions and design a number of tractable algorithms from a data and computational standpoint for the same.
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