Analysis of the Business Model of C2B Cross-Border E-Commerce Platform Based on Deep Learning

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...

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Autor principal: Jun He
Formato: article
Lenguaje:EN
Publicado: Hindawi-Wiley 2021
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Acceso en línea:https://doaj.org/article/3e8df28b45c34374bc760133b141ad3e
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spelling oai:doaj.org-article:3e8df28b45c34374bc760133b141ad3e2021-11-29T00:55:33ZAnalysis of the Business Model of C2B Cross-Border E-Commerce Platform Based on Deep Learning1939-012210.1155/2021/9025986https://doaj.org/article/3e8df28b45c34374bc760133b141ad3e2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9025986https://doaj.org/toc/1939-0122Based 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.Jun HeHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology (General)
T1-995
Science (General)
Q1-390
spellingShingle Technology (General)
T1-995
Science (General)
Q1-390
Jun He
Analysis of the Business Model of C2B Cross-Border E-Commerce Platform Based on Deep Learning
description 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.
format article
author Jun He
author_facet Jun He
author_sort Jun He
title Analysis of the Business Model of C2B Cross-Border E-Commerce Platform Based on Deep Learning
title_short Analysis of the Business Model of C2B Cross-Border E-Commerce Platform Based on Deep Learning
title_full Analysis of the Business Model of C2B Cross-Border E-Commerce Platform Based on Deep Learning
title_fullStr Analysis of the Business Model of C2B Cross-Border E-Commerce Platform Based on Deep Learning
title_full_unstemmed Analysis of the Business Model of C2B Cross-Border E-Commerce Platform Based on Deep Learning
title_sort analysis of the business model of c2b cross-border e-commerce platform based on deep learning
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/3e8df28b45c34374bc760133b141ad3e
work_keys_str_mv AT junhe analysisofthebusinessmodelofc2bcrossborderecommerceplatformbasedondeeplearning
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