Spotting opinion spammers using behavioral footprints
Author:
Affiliation:
1. University of Illinois at Chicago, Chicago, IL, USA
2. HP Labs, Palo Alto, CA, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2487575.2487580
Reference48 articles.
1. Popken B. 2010. 30 Ways You Can Spot Fake Online Reviews. The Consumerist. Popken B. 2010. 30 Ways You Can Spot Fake Online Reviews. The Consumerist.
2. Bishop C.M. 2006. Pattern Recognition and Machine Learning. Springer. Bishop C.M. 2006. Pattern Recognition and Machine Learning. Springer.
3. Castillo C. Donato D. Becchetti L. Boldi P. Leonardi S. Santini M. and Vigna S. 2006. A reference collection for web spam. SIGIR Forum. (2006). 10.1145/1189702.1189703 Castillo C. Donato D. Becchetti L. Boldi P. Leonardi S. Santini M. and Vigna S. 2006. A reference collection for web spam. SIGIR Forum. (2006). 10.1145/1189702.1189703
4. Celeux G. Chaveau D. & Diebolt J. 1996. Stochastic versions of the em algorithm: an experimental study in the mixture case. Journal of Statistical Computation and Simulation. (1996). Celeux G. Chaveau D. & Diebolt J. 1996. Stochastic versions of the em algorithm: an experimental study in the mixture case. Journal of Statistical Computation and Simulation. (1996).
5. Chirita P.A. Diederich J. and Nejdl W. 2005. MailRank?: Using Ranking for Spam Detection. CIKM (2005). 10.1145/1099554.1099671 Chirita P.A. Diederich J. and Nejdl W. 2005. MailRank?: Using Ranking for Spam Detection. CIKM (2005). 10.1145/1099554.1099671
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