On Detecting Frauds in Comparison-Shopping Services
Author:
Affiliation:
1. Carnegie Mellon University, Pittsburgh, PA, USA
2. Hanyang University, Seoul, South Korea
Publisher
ACM Press
Reference6 articles.
1. D.-H. Bae et al. Outlier detection using centrality and center-proximity. In ACM CIKM, pages 2251--2254, 2012.
2. G. Cho et al. An empirical study of click fraud in mobile advertising networks. In ARES, 2015.
3. M. Gupta et al. Characterizing comparison shopping behavior: A case study. In ICDEW, 2014.
4. M. Jiang et al. A general suspiciousness metric for dense blocks in multimodal data. In ICDM, 2015.
5. H.-K. Oh et al. Can you trust online ratings? a mutual reinforcement model for trustworthy online rating systems. Systems, Man, and Cybernetics: Systems, IEEE Transactions on, 2015.
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