Abstract
Reducing Internet auction fraud is one of the greatest challenges in today’s electronic market. Most of the electronic auction platforms use only simple reputation system that can be easily manipulated [1,2,3]. Although reputation systems can be used to detect frauds, they provide little detailed information about the fraud itself except user comments.
The work reported in this paper has been funded by the Polish Ministry of Science and Higher Education under the research grants N N516 4307 33 and 69/N-SINGAPUR/2007/0.
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Kaszuba, T., Hupa, A., Wierzbicki, A. (2010). Comment Classification for Internet Auction Platforms. In: Grundspenkis, J., Kirikova, M., Manolopoulos, Y., Novickis, L. (eds) Advances in Databases and Information Systems. ADBIS 2009. Lecture Notes in Computer Science, vol 5968. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12082-4_17
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DOI: https://doi.org/10.1007/978-3-642-12082-4_17
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