Design and Implementation of SME International Trade Intelligent Summarization Platform Based on Deep Learning and Microservice Architecture
Year: 2025
Type: conference-paper
Abstract: This study implements an intelligent international trade matching platform for SMEs based on distributed computing, deep learning and microservice architecture, integrating NLP and multi-objective optimization algorithms to construct a matching model, and decoupling and synergizing the core modules through SpringCloud microservice framework. The results show that the platform effectively solves the problem of information asymmetry and resource constraints, significantly improves the efficiency and success rate of SMEs' international trade, and provides new ideas and practical examples for digital trade services.
Authors: Xizhe Yu, Hongmei Wang, Xinru Xia, Ruowei Shen, Shujing Chen, Yuqing Wang, Yanning Yu
Institution: Tianjin University of Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4412822299