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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents



ID: 270091.0, MPI für biologische Kybernetik / Biologische Kybernetik
A Machine Learning Approach to Conjoint Analysis
Authors:Chapelle, O.; Harchaoui, Z.
Editors:Saul, L.K.; Weiss, Y.; Bottou, L.
Date of Publication (YYYY-MM-DD):2005
Title of Proceedings:Advances in Neural Information Processing Systems
Start Page:257
End Page:264
Physical Description:8
Audience:Not Specified
Intended Educational Use:No
Abstract / Description: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.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/Empirical Inference (Dept. Schölkopf)
Identifiers:LOCALID:2777
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