Cross-border Website Evaluation based on Web E-commerce Platform

Abstract

This article provides an intelligent cross-border e-commerce website safety and quality assessment method and system, involving the field of artificial intelligence technology. Through big data collection and data crawling, cross-border e-commerce website database collection is obtained, and commercial release information collection of various e-commerce websites is obtained. Based on the above information, e-commerce website safety and quality assessment models and website product safety and quality assessment models are constructed, Combine the two to generate a cross-border e-commerce website security and quality evaluation model to evaluate e-commerce website data information, and mark those that meet the website quality eligibility threshold as trusted e-commerce websites. The present invention solves the technical problem that judging the quality of cross-border e-commerce websites in the prior art still relies on manually opening a webpage to click and browse, resulting in low efficiency and poor accuracy in the quality judgment process. It realizes automatic data crawling and scoring of cross-border e-commerce websites, thereby improving the efficiency and accuracy of judging the quality of cross-border e-commerce websites.