Corpus ID: 14839274

Detecting Fraudulent Advertisements on a Large E-Commerce Platform

@inproceedings{Zimmermann2017DetectingFA,
  title={Detecting Fraudulent Advertisements on a Large E-Commerce Platform},
  author={Tim Zimmermann and Timo Dj{\"u}rken and Arne Mayer and Michael Janke and Martin Boissier and Christian Schwarz and R. Schlosser and M. Uflacker},
  booktitle={EDBT/ICDT Workshops},
  year={2017}
}
E-commerce platforms face the challenge of efficiently and accurately detecting fraudulent activity every day. Manually checking every advertisement for fraud does not scale and is financially unviable. By using automated learning algorithms, we can drastically reduce the number of advertisements that need to be checked by humans. In this paper, we present the results of a joint project with a large ecommerce company selling used goods. Using our partner’s advertisement data, we implemented… Expand

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