Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2099648 | Trends in Food Science & Technology | 2007 | 9 Pages |
Abstract
In this paper, we discuss how to model preferences from a collection of ratings provided by a panel of consumers of some kind of food product. We emphasize the role of tasting sessions, since the ratings tend to be relative to each session and hence regression methods are unable to capture consumer preferences. The method proposed is based on the use of Support Vector Machines (SVM) and provides both linear and nonlinear models. To illustrate the performance of the approach, we report the experimental results obtained with a couple of real world data sets.
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Authors
Antonio Bahamonde, Jorge Díez, José Ramón Quevedo, Oscar Luaces, Juan José del Coz,