Research On The Influencing Factors Of Laptop Online Shopping Sales Based On Support Vector Quantile Regression

With the rapid development of the Internet,laptops have become the preferred device for people’s entertainment and work with the advantages of high efficiency and portability.Compared with traditional brick-and-mortar stores,e-commerce platforms are more convenient for consumers to compare prices and configurations of goods,and more and more consumers choose to buy laptops online.In the context of full competition in e-commerce,it is of great practical significance for both consumers and businesses to explore the influencing factors of laptop online shopping sales.This paper takes laptop sales as the research object,and excavates the relevant data of laptop sales from Jingdong Mall,the most influential electronic product e-commerce platform in China,and conducts research on the factors influencing laptop online sales through data cleaning and collation,variable selection,statistical modeling analysis and other steps.Based on the distribution characteristics of the sample data,this paper compares the prediction effects of linear quantile regression,neural network quantile regression and support vector quantile regression on the basis of quantile regression theory and selects model evaluation indexes(mean absolute error MAE and root mean squared error RMSE).The results show that at the level of method,support vector quantile regression has higher accuracy in model construction compared to linear quantile regression and neural network quantile regression;at the level of influencing factors,because laptops have a brand effect,higher brand awareness can promote sales growth.The effect of price on sales produced different trends as the quantile point increased;an increase in price in the lower quantile range could lead to an increase in sales,while the opposite was true in the higher quantile range.Theoretical battery life in laptop properties has a positive effect on sales;the increase in screen size and thickness can promote the growth of laptop sales in a certain range,but when the value is too large,sales will be reduced;for the number of cores,its number will directly lead to the difference of price,in general,consumers are more likely to give priority to the price factor,and not too attention to this property.In addition,the service factor of the store(mainly including product rating,logistics rating and after-sales rating)can also positively contribute to the change of sales.Thus,it is clear that consumers pay more attention to the services provided by merchants and their reputation,in addition to the products themselves.Therefore,merchants can maintain good market competitiveness by improving their service quality while ensuring the quality of their products.