A Data-Driven Approach to Modeling Choice
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Farias-2009-A data-driven approach.pdf
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Author(s)
Farias, Vivek F.
Jagabathula, Srikanth
Shah, Devavrat
Date Issued
2009
Journal
Advances in Neural Information Processing Systems (NIPS) 22
Publisher
Neural Information Processing Systems Foundation
Citation
Farias, Vivek F., Srikanth Jagabathula, and Devavrat Shah. "A Data-Driven Approach to Modeling Choice." Advances in Neural Information Processing Systems 22 (NIPS 2009).
Version
Final published version
Abstract
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 econometrics. We present a framework to answer such questions and design a number of tractable algorithms (from a data and computational standpoint) for the same.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Sloan School of Management
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DOI of Published Version
http://papers.nips.cc/paper/3862-a-data-driven-approach-to-modeling-choice
