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17. Mar 2022 •1 minute read
ML methods for detecting fraud in online marketplaces
by ProductDock
Securing a safe environment for buyers and sellers is the burden of online marketplaces since their reputations attract many malicious users who are likely to abuse the platform for personal monetary gains. Fraud detection and prevention of malicious actions represent a real challenge, where platforms have to respond adequately and in a timely manner.
Several teams at ProductDock currently work for the world famous eCommerce platforms in Europe, North America, and Australia. Raoul Dekou, PhD Data Scientist at mobile.de, and the writing team of co-authors Savo Sabljic (ProductDock*), Francesca Diana (codecentric AG), Simon Kufeld and Ricardo Kawase (Inovex GmbH) have recently published their scientific article: Machine Learning Methods for Detecting Fraud in Online Marketplaces. The paper was published in the CEUR Workshop Proceedings**.