• Title/Summary/Keyword: 다중 최소자승 서포트벡터

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An Analysis of customer satisfaction for shopping mall using multi LS-SVM : Focused on the Perception of Chinese Students in Korea (다중 LS-SVM을 이용한 중국유학생들의 쇼핑몰 고객만족도 분석)

  • Pi, Su-Young;Park, Hye-Jung;Kwon, Young-Jik
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.6
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    • pp.81-89
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    • 2013
  • Currently Internet shopping (or shopping online) is becoming the common consumption channel for Chinese, and it is more likely to continue to grow. Although E-tailers (or the Internet shopping mall) in China is rapidly growing, there are not very many shopping malls that can meet customer satisfaction. E-tailers in Korea analyze the quality evaluation and customer satisfaction of shopping malls. If the Internet shopping that is suitable for Chinese students studying in Korea is built, it is expected to strengthen international competitive power. In this paper, the comparative analysis of Customer satisfaction for Internet shopping between Chinese students studying in Korea and Korean university students is provided. Furthermore, we analyze the customer satisfaction model of Chinese students studying in Korea by using the multi lease square support vector machine that obtains the global optimal solution. Analysis of customer satisfaction of Chinese students studying in Korea are not only used for E-tailers in Korea, but it can strengthen international competitive power.