决策树算法对电子商务交易信任机制的应用研究

Trust Mechanism Application of Decision Tree Algorithm in E-Commerce Transactions

为了解决B2C模式的电子商务交易的信任问题,提出一种基于决策树算法的电子商务交易信任研究,对算法进行分析和选择,建立决策树模型,使用Swarm工具进行可视化仿真实验。实验结果表明,该方法可以快速收敛到均衡,能够准确识别出不良的交易者,为今后信任机制平台的建设提供了帮助。

With the rapid development of e-commerce,the trust in e-commerce transactions has be-come a hot issue.To solve the problem of trust in B2C e-commerce transaction,this paper presents a study of e-commerce transactions trust decision based on the tree algorithm.After analysis and selection, a decision tree model is established.Visual simulation experiments are conducted using Swarm tools.The experimental results show that the method can quickly converge to equilibrium and accurately identify the bad trader,which helps building the trust platform in the future.