PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

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


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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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:420
Deposited By:Olivier Chapelle
Deposited On:20 December 2004