Traditional preference mapping and computational machine learning techniques: A comparative study of approaches to guide product development

Author:

Rios de Souza Vanessa,Popper Richard,Plamenov Viktor,Wojnicz Patti,Martinez Juan

Publisher

Elsevier BV

Reference29 articles.

1. Comparison of different ways of handling L-shaped data for integrating sensory and consumer information;Asioli;Food Quality and Preference,2022

2. Boehmke, B., & Greenwell, B. (2019). Hands-On Machine Learning with R. In Hands-On Machine Learning with R. Chapman and Hall/CRC. Doi: 10.1201/9780367816377.

3. Individual differences and multidimensional scaling;Carroll,1972

4. Chang, J. J., & Carroll, J. D. (1968). How to use MDPREF, a computer program for multidimensional analysis of preference data. In Unpublished report, Bell Telephone Laboratories.

5. Danzart, M, Siefferman, J.-M., and Delarue, J. (2004). New developments in preference mapping techniques: Finding out a consumer optimal product, its sensory profile and key sensory attributes, 6th Sensometric Meeting, Davis, USA.

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