Regional Development of E-Commerce Based on Big Data Evaluation Model

Abstract

Abstract In order to improve the authenticity and reliability of the evaluation data of regional e-commerce for reflecting the regional credit level in the business platform, this paper proposes a regional credibility evaluation model based on big data, which integrates the behavior characteristics of regional economic development and the judgment of the credibility of comments. Based on the analysis of regional economic behavior, the features include regional activity, regional reliability and regional contribution, while the credibility of comments is calculated based on the quality of regional text. The experimental results show that this method can quickly screen out the high reliability region, and can effectively alleviate the cold start problem. In the regional credibility evaluation model, two groups of features are proposed: regional behavior feature and regional text quality feature. The credibility of regional behavior, the credibility of regional social relations and the quality of regional comments are comprehensively evaluated. These two sets of features solve the problems of incomplete features and data cold start in the evaluation model of regional credibility.