A Wine Consumption Prediction Model Based on L-DAGLSSVM

  • Xiao Wang
  • Sijie Lu
  • Zhijian Zhou
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)


With the increasing demand of wine consumption, the marketing of wine consumption is expanding. In this paper, we do a research about the decision behavior of Chinese wine consumers in order to grasp the consumption demand of wine at different prices better. We acquire 774 questionnaires finally, and the 528 of which are valid. According to the consumption prices, we divide wine consumers into three types. Then we propose a multi-class classification method named L-DAGLSSVM for constructing prediction model of consumption types, which is based on LDA and the directed acyclic graph least squares support vector machine (DAGLSSVM). The numerical experiments demonstrate that our algorithm gains better performance compared with other algorithms. And the prediction model plays an important role in commercial fields that it can provide an effective reference for the wine production, purchase and marketing strategies etc.


LSSVM The decision directed acyclic graph (DDAG) LDA Prediction model of consumption types 


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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Xiao Wang
    • 1
  • Sijie Lu
    • 1
  • Zhijian Zhou
    • 1
  1. 1.College of Science, China Agricultural UniversityBeijingChina

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