基于LightGBM模型的跨境电子商务海外战略环境评价指标体系构建

Yi Lei, Xiaodong Qiu
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引用次数: 0

摘要

中国的跨境电子商务正处于发展的黄金时期,企业在发展跨境电子商务时,首先要对目标国家的市场环境进行评估,合理选择目标国家。本文建立了评价中国跨境电商海外战略气候的指标体系,利用机器学习中的LightGBM方法对建立的指标体系进行训练和预测。最后,验证了指标体系的合理性,并得出了各指标的权重。为跨境电商企业在选择目标国家时应关注的指标和因素提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishment of an Evaluation Index System for the Overseas Strategic Climate of Cross-border E-Commerce Based on LightGBM Model
China's cross-border e-commerce has witnessed prime time for development When developing cross-border e-commerce, enterprises should first assess the market environment of the target country and reasonably select the target country. This paper establishes an index system for evaluating the strategic climate of China's cross-border e-commerce abroad, uses the LightGBM method in machine learning to train and predict the established index system. Finally, the rationality of the index system is verified, and the weights of each index are also obtained. It provides a reference for cross-border e-commerce enterprises on which indicators and factors they should focus on when selecting target countries.
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