Research on Dynamic Evaluation Modeling of Community e-Commerce Service Satisfaction under the Background of New Retail

Abstract

In order to improve the evaluation quality of community e-commerce service satisfaction, this study designs a new dynamic evaluation modeling method of community e-commerce service satisfaction under the background of new retail. After analyzing the community e-commerce service model under the new retail background, three primary indicators including commodity, distribution, and technology indicators and 14 secondary community e-commerce service satisfaction evaluation indicators are selected to complete the dynamic evaluation of community e-commerce service satisfaction through index clustering and satisfaction information clustering. The experimental results show that the evaluation time of this method varies from 7.5 min to 18.8 min, the accuracy of satisfaction information collection varies from 87.2% to 97.4%, and the highest evaluation accuracy can reach 98.1%, which prove that this method has higher evaluation efficiency and effectiveness and has strong application advantages.