A Machine Learning Approach to Conjoint Analysis
Chapelle, Olivier, Harchaoui, Zaïd
–Neural Information Processing Systems
Choice-based conjoint analysis builds models of consumer preferences over products with answers gathered in questionnaires. Our main goal is to bring tools from the machine learning community to solve this problem moreefficiently. Thus, we propose two algorithms to quickly and accurately estimate consumer preferences.
Neural Information Processing Systems
Dec-31-2005