Abstract
As a new business model, e-commerce is developing rapidly in our country. With the development of the Internet, online shopping has gradually become a new fashion. Obtaining product information through e-commerce websites has become more and more popular. With the development of online shops, in addition to convenient shopping methods, there are also commodity credit problems. This article mainly uses experimental methods and case analysis methods, taking Taobao and other C2C e-commerce websites as examples, to test the performance of the credit evaluation system, and explore the relationship between creditworthiness and the number of buyers. The experimental results show that when the number of buyers reaches 78, the credit rating is 65. When the number of buyers increases, their credibility will also increase. This shows that the number of buyers can reflect the creditworthiness of a shop to a certain extent.
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Liu, K. (2022). Constructing System Based on C2C E-Commerce Website Credit Evaluation Model. In: Sugumaran, V., Sreedevi, A.G., Xu, Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 136. Springer, Cham. https://doi.org/10.1007/978-3-031-05237-8_8
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DOI: https://doi.org/10.1007/978-3-031-05237-8_8
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