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. This paper proposes an affective computing method based on previous remarks of customs, which can not only make good use of remarks, but also greatly reduce the difficulty of finding better products.
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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., Zhang, F., Wu, G., Zhao, J., Zhao, C., Cao, X. (2021). Affective Computing Based on Remarks of Customs in Online Shopping Websites. 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_29
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DOI: https://doi.org/10.1007/978-3-030-51328-3_29
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