A Machine Learning Approach to Conjoint Analysis
Olivier Chapelle and Zaid Harchaoui
In: NIPS 17(2004).

Abstract

Choice-based conjoint analysis builds models of consumers preferences over products with answers gathered in questionnaires. Our main goal is to bring tools from the machine learning community to solve more efficiently this problem. Thus, we propose two algorithms to estimate quickly and accurately consumer preferences.

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