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NIPS
2004

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A Machine Learning Approach to Conjoint Analysis

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A Machine Learning Approach to Conjoint Analysis

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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 more efficiently. Thus, we propose two algorithms to quickly and accurately estimate consumer preferences.

Olivier Chapelle, Zaïd Harchaoui

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Choice-based Conjoint Analysis | Consumer Preferences | Estimate Consumer Preferences | NIPS 2004 | NIPS 2007 |

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Added	31 Oct 2010
Updated	31 Oct 2010
Type	Conference
Year	2004
Where	NIPS
Authors	Olivier Chapelle, Zaïd Harchaoui

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