Abstract
We proposed a prototype of near-duplicate detection system for web-shop owners. It's a typical situation for this online businesses to buy description of their goods from so-called copyrighters. Copyrighter can cheat from time to time and provide the owner with some almost identical descriptions for different items. In this paper we demonstrated how we can use FCA for fast clustering and revealing such duplicates in real online perfume shop's datasets. © 2013 Springer-Verlag.
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CITATION STYLE
Ignatov, D. I., Konstantiov, A. V., & Chubis, Y. (2013). Near-duplicate detection for online-shops owners: An FCA-based approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7814 LNCS, pp. 722–725). https://doi.org/10.1007/978-3-642-36973-5_69
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