Strategy Research On Supervising E-commerce Quality Based On Big Data Application

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.