Abstract
With the development of e-commerce technologies, more and more sellers choose to open online shops in the e-commerce platforms due to the advantages of saving costs and spaces, and more and more buyers choose to do online shopping with the advantages of saving time and money, as well as the convenience. On one hand, this kind of web based trading greatly facilitates both sellers and buyers; on the other hand, it makes more technical demands on the e-commerce platforms providers, such as the automatic detection of the prohibited goods, especially with Chinese names or descriptions due to the ambiguity nature of Chinese language. In this paper, we propose a novel idea for addressing this problem by web based aliases extracting. The experiment results illustrate the effectiveness and feasibility of our method.
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He, T., Liu, J., Li, K., Yang, M. (2011). Automatically Extracting Chinese Aliases of Prohibited Items Based on Web Searching. In: Wang, Y., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent and Soft Computing, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25658-5_39
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DOI: https://doi.org/10.1007/978-3-642-25658-5_39
Publisher Name: Springer, Berlin, Heidelberg
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