随着近年来电商迅速崛起，电商产品质量已经成为质量问题频发的重灾区。同时，电商企业的数据化和大数据技术的兴起，也为电商质量监管应用大数据分析提供了研究基础。目前，基于大数据应用的电商质量监管相关研究并不多见。 本文的核心是大数据应用视角的电商质量监管研究。通过结合我国电商质量监管现状和存在问题，以大数据分析应用为基础开发了电商质量监管的系统框架，并将该系统应用到京东电商质量大数据监管中，提出了基于大数据应用的电商质量监管策略。首先，从文献计量学角度，使用CiteSpace软件可视化分析大数据和电商、电商和质量的相关研究现状；梳理国内外大数据研究的演进路径，总结归纳相关研究前沿和趋势；可视化分析我国电商质量监管的研究现状。其次，通过梳理分析电商质量的发展现状、电商质量的监管现状，提出基于大数据应用的电商质量监管的必要性。再次，从大数据处理的流程角度，提出大数据应用于电商质量监管的系统框架，开发基于大数据应用的电商质量监管系统，并探讨相关子系统的功能及算法。采集京东电商数据记录为实验数据集，实证分析并验证了模型的有效性，得到大数据应用的方法模型能够有效监管电商质量的结论。最后，提出基于大数据应用的电商质量监管策略。 本文主要研究结论如下：（1）大数据应用于电商质量监管是未来交叉领域研究热点；（2）我国电商质量监管主要通过电商主体及行业自律，政府监管或第三方监管基本处于长期缺位状态；（3）大数据应用的方法模型能够有效监管电商质量；（4）提出基于大数据应用的电商质量监管策略。

With the rapid rise of the e-commerce in recent years, the e-commerce product quality has become the hardest hit by frequent quality problems. At the same time, rising of the e-commerce companies and large data technology data, provides the basis for the research of the e-commerce quality supervision based on big data analysis. At present, the research of the e-commerce quality supervision based on big data applications is relatively rare. The core of this paper is the e-commerce quality supervision from the perspective of big data applications. By combining with the existing problems and the status quo of China's e-commerce quality supervision, this paper designs the big data system framework used in the e-commerce quality supervision, and the system is applied to Jing dong e-commerce quality supervision based on big data applications, put forward the strategy of the e-commerce quality supervision based on big data applications. First of all, from the perspective of literature metrology, this paper uses the CiteSpace software to do visual analysis with the relevant research status of big data and e-commerce, e-commerce and quality. This paper reviews the domestic and international evolution path of big data research, summarizes the relevant research frontiers and trends, and analyzes the status quo of China's e-commerce quality supervision. Secondly, through analyzing the current situation of development and supervision in the e-commerce quality, this paper brings forward the necessity of the e-commerce quality supervision based on big data application. Lastly, from the big data processing point of view, this paper proposes the big data system framework used in the e-commerce quality supervision, designs the big data system used in the e-commerce quality supervision, and explores the function of each subsystem. Collecting the data of Jing dong e-commerce for the experimental data set, this paper verifies the validity of the model by empirical analysis. The method of big data can be applied to effectively supervise the e-commerce quality. Finally, this paper puts forward the strategy of the e-commerce quality supervision based on big data application. The main conclusions are as follows: (1) This is the research focus in the cross field at future which the big data used in the e-commerce quality supervision; (2) China's e-commerce quality supervision is primarily through the e-commerce and their industry self-discipline, government regulation and the third-party supervision were absent in the long-term; (3) The model of big data applications can effectively supervise the e-commerce quality; (4) Put forward the strategy of the e-commerce quality supervision based on big data application.