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Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Research on Dynamic Reputation Evaluation Model Based on Machine Learning

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DOI: 10.25236/icme.2019.106


Xiang Chen

Corresponding Author

Xiang Chen


Considering the security risks of Internet online service acquisition, it is necessary to strengthen the service dynamic reputation assessment. Based on this, this paper combines the dynamic reputation evaluation model to establish the requirements, proposes the use of machine learning to complete the support vector machine model, and enhances the dynamic evaluation of service reputation level through self-learning. Based on the introduction of model training and updating methods, it is found that the performance of the model can be obtained with high accuracy by verifying the performance of the model.


Machine learning; dynamic reputation evaluation model; support vector machine