کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
2099648 | 1082712 | 2007 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
How to learn consumer preferences from the analysis of sensory data by means of support vector machines (SVM)
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
دانش تغذیه
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: How to learn consumer preferences from the analysis of sensory data by means of support vector machines (SVM) How to learn consumer preferences from the analysis of sensory data by means of support vector machines (SVM)](/preview/png/2099648.png)
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Trends in Food Science & Technology - Volume 18, Issue 1, January 2007, Pages 20–28
Journal: Trends in Food Science & Technology - Volume 18, Issue 1, January 2007, Pages 20–28
نویسندگان
Antonio Bahamonde, Jorge Díez, José Ramón Quevedo, Oscar Luaces, Juan José del Coz,