Abstract

Based on the rapid popularity of the Internet, business can circulate in a wider range of fields. E-commerce integrates traditional offline business resources with a brand-new model, so that products can be sold to consumers everywhere. As a new business model that has emerged in recent years, cross-border EC has largely solved the problem of asymmetry in import and export trade information. This paper studies the business model analysis of C2B cross-border EC platforms based on deep learning. First, it has general understanding of related theories, then uses the deep learning model to analyze the business models of cross-border EC, and finally analyzes the results. It is concluded that when the user loyalty is 0.65, the key variables are constantly increasing. Among them, the trends of active users and costs are similar, and the trends of orders and revenue are similar.

Highlights

  • In recent years, our country has actively developed crossborder EC business, and the service system of cross-border EC platforms has been continuously improved [1, 2]. e traditional business model is no longer suitable for crossborder development, and the EC business model is gradually being replaced [3, 4]

  • On the basis of the analysis of existing scholars, researchers examined two payment methods, digital cash payment based on blockchain technology and blockchain applications on third-party payment platforms, discussed cross-border EC payment platforms of the Security and Communication Networks blockchain mechanism in China, and creatively proposed the cross-border EC payment platform blockchain, which provides reference and guidance for the further development of blockchain technology in the cross-border field [10]

  • There are many research results on cross-border EC, but there are relatively few related studies on the analysis of the business model of C2B cross-border EC platforms based on deep learning

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Summary

Introduction

Our country has actively developed crossborder EC business, and the service system of cross-border EC platforms has been continuously improved [1, 2]. e traditional business model is no longer suitable for crossborder development, and the EC business model is gradually being replaced [3, 4]. On the basis of the analysis of existing scholars, researchers examined two payment methods, digital cash payment based on blockchain technology and blockchain applications on third-party payment platforms, discussed cross-border EC payment platforms of the Security and Communication Networks blockchain mechanism in China, and creatively proposed the cross-border EC payment platform blockchain, which provides reference and guidance for the further development of blockchain technology in the cross-border field [10]. There are many research results on cross-border EC, but there are relatively few related studies on the analysis of the business model of C2B cross-border EC platforms based on deep learning. Deep learning combines low-level features to form more abstract high-level representation attribute categories or features, so as to find the distributed feature representation of data. e motivation of studying deep learning is to establish a neural network simulating the human brain for analytical learning

Research on the Business Model of CrossBorder EC Platforms
Deep Learning Training Process
Analysis of Experimental Results
Suggestions for Business Model Innovation
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