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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| Formato: | article |
| Lenguaje: | EN |
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Hindawi-Wiley
2021
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| Acceso en línea: | https://doaj.org/article/3e8df28b45c34374bc760133b141ad3e |
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| Sumario: | 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. |
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