A Siamese Neural Network Application for Sales Forecasting of New Fashion Products Using Heterogeneous Data
In the fashion market, the lack of historical sales data for new products imposes the use of methods based on Stock Keeping Unit (SKU) attributes. Recent works suggest the use of functional data analysis to assign the most accurate sales profiles to each item. An application of siamese neural networ...
Main Authors: | Giuseppe Craparotta, Sébastien Thomassey, Amedeo Biolatti |
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Format: | Article |
Language: | English |
Published: |
Atlantis Press
2019-11-01
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Series: | International Journal of Computational Intelligence Systems |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/125924347/view |
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