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  • 标题:Leveraging e-Commerce Performance through Machine Learning Algorithms
  • 本地全文:下载
  • 作者:Adrian MICU ; Marius GERU ; Alexandru CAPATINA
  • 期刊名称:Annals of Dunărea de Jos University. Fascicle I : Economics and Applied Informatics
  • 印刷版ISSN:1584-0409
  • 出版年度:2019
  • 期号:2
  • 页码:1-10
  • 出版社:Dunarea de Jos University of Galati
  • 摘要:Machine learning (ML) is quickly emerging as a new discipline and resembles to be an attractive alternative to statistical methods in various industries. An appreciation of the possible applications of ML in digital marketing and eCommerce will be proposed in this article. The authors will examine qualitative determinant factors on brand logos and correlations on companies income, with profit, the number of employees, images and number of product images on eCommerce homepage. 1420 Romanian companies were analyzed in this research in order to identify specific factors that determines the success of an eCommerce business.
  • 关键词:eCommerce; digital marketing; machine learning; computer vision; google vision; marketing intelligence
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