Abstract
Analyzing and processing the data of product quality safety supervision and spot check is the key to maintain healthy and sustainable development of products, because the data sources are extensive. In view of the ambiguity of product names in the data, a method based on fusion feature similarity is proposed, which disambiguates product names using features such as manufacturer name-related information, product-related information, topic-related information, and so on. Experiment results show that the proposed method is effective for product name disambiguation.
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Acknowledgements
This research is supported and funded by the National Science Foundation of China under Grant No. 91646122 and the National Key Research and Development Plan under Grant No.2016YFF0202604 and No.2017YFF0209604.
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Ning, X., Lu, X., Xu, Y., Li, Y. (2020). Study on Product Name Disambiguation Method Based on Fusion Feature Similarity. In: Pan, JS., Li, J., Tsai, PW., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol 157. Springer, Singapore. https://doi.org/10.1007/978-981-13-9710-3_14
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DOI: https://doi.org/10.1007/978-981-13-9710-3_14
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