Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution. Günnemann, S., Günnemann, N., & Faloutsos, C. In Macskassy, S. A., Perlich, C., Leskovec, J., Wang, W., & Ghani, R., editors, The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014, pages 841–850, 2014. ACM.
Detecting anomalies in dynamic rating data: a robust probabilistic model for rating evolution [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/kdd/GunnemannGF14,
  author    = {Stephan G{\"{u}}nnemann and
               Nikou G{\"{u}}nnemann and
               Christos Faloutsos},
  editor    = {Sofus A. Macskassy and
               Claudia Perlich and
               Jure Leskovec and
               Wei Wang and
               Rayid Ghani},
  title     = {Detecting anomalies in dynamic rating data: a robust probabilistic
               model for rating evolution},
  booktitle = {The 20th {ACM} {SIGKDD} International Conference on Knowledge Discovery
               and Data Mining, {KDD} '14, New York, NY, {USA} - August 24 - 27,
               2014},
  pages     = {841--850},
  publisher = {{ACM}},
  year      = {2014},
  url       = {https://doi.org/10.1145/2623330.2623721},
  doi       = {10.1145/2623330.2623721},
  timestamp = {Sun, 02 Jun 2019 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/conf/kdd/GunnemannGF14.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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