Abstract
In recent years, the scale of network marketing increase rapidly. The remark information of customs after shopping will mostly make comments on the quality of goods. The information can provide support for online marketing platform, production enterprises and market supervision departments, and guide management organizations to find quality problems. This paper proposes a sampling method based on Bayesian method and remarks of customs, which can be used to evaluate the quality of goods. It can greatly reduce the number of samples and find the quality problems of goods effectively.
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Acknowledgements
This research was supported by National Key Technology R&D Program (2017YFF0209004, 2016YFF0204205, 2018YFF0213901), and grands from China National Institute of Standardization (522018Y-5941, 522018Y-5948, 522019Y-6781, 522019Y-6771).
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Wang, H., Zhao, J., Wu, G., Zhang, F., Zhao, C., Cao, X. (2021). Product Sampling Based on Remarks of Customs in Online Shopping Websites for Quality Evaluation. In: Ahram, T. (eds) Advances in Artificial Intelligence, Software and Systems Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1213. Springer, Cham. https://doi.org/10.1007/978-3-030-51328-3_28
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DOI: https://doi.org/10.1007/978-3-030-51328-3_28
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Online ISBN: 978-3-030-51328-3
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