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- Vol. 3 Issue 6
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A Survey on Fake Customer Review Detection System
Authors
1234 B. Tech Student, Computer Science and Engineering, Institute of Technology and Management, Gorakhpur, U.P., India. 5 Assistant Professor, Computer Science and Engineering, Institute of Technology and Management, Gorakhpur,U.P., India.
Article Information
- DOI
- No DOI
- Published In
- Volume 3, Issue 6 (2022)
- Published Online
- November-December 2022
- Pages
- 53-55
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
[1] Estimating the incidence of fraud in online review communities: Ott M., Cardie, C., Hancock, J. 201210 is found in the book Proceedings
of the 21st International World Wide Web Conference. ACM (2012)
[2] Anonymity, social image, and volunteer recruitment: a case study of the internet market for reviews, Wang, Z. B.E. Journal of Economic
Analysis, 10(1), 133 (2010)
[3] Ott, M., Choi, Y., Cardie, and J.T. Hancock: Finding misleading opinion spam by whatever means necessary. In: Human Language
Technologies, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, Portland, Oregon, USA, pp. 309319
(2011)
[4] Time series-based fake opinion detection by Heydari, Tavakoli, and Salim. 58, 8392 Expert Syst. Appl (2016) Using rating behaviours,
Lim, E.-P., Nguyen, V.-A., Jindal, N., Liu, B., and Lauw, H.W., were able to identify spammy product reviews. 19th ACM International
Conference on Information Proceedings.
[5] Xie, S., Wang, G., Lin, S., Yu, P.S.: Review spam detection via temporal pattern discovery. In: Proceedings of the 18th ACM
International Conference on Knowledge Discovery and Data Mining, pp. 823831. ACM (2012)
[6] Ye, J., Kumar, S., Akoglu, L.: Temporal opinion spam detection by multivariate indicative signals. In: ICWSM, pp. 743746 (2016)
[7]. Damien Rolon-Merette, Matt Ross, Thadde Rolon-Merette, Kinsey Church, “INTRODUCTION TO ANACONDA AND PYTHON:
INSTALLATION AND SETUP”, Volume:16/Issues:05/2020.
[8]. Stefan van der Walt, S. Chris Colbert, Gael Varoquaux, “THE NUMPY ARRAY: A STRUCTURE FOR EFFICIENT NUMERICAL
COMPUTION” 8 Feb-2011.
of the 21st International World Wide Web Conference. ACM (2012)
[2] Anonymity, social image, and volunteer recruitment: a case study of the internet market for reviews, Wang, Z. B.E. Journal of Economic
Analysis, 10(1), 133 (2010)
[3] Ott, M., Choi, Y., Cardie, and J.T. Hancock: Finding misleading opinion spam by whatever means necessary. In: Human Language
Technologies, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics, Portland, Oregon, USA, pp. 309319
(2011)
[4] Time series-based fake opinion detection by Heydari, Tavakoli, and Salim. 58, 8392 Expert Syst. Appl (2016) Using rating behaviours,
Lim, E.-P., Nguyen, V.-A., Jindal, N., Liu, B., and Lauw, H.W., were able to identify spammy product reviews. 19th ACM International
Conference on Information Proceedings.
[5] Xie, S., Wang, G., Lin, S., Yu, P.S.: Review spam detection via temporal pattern discovery. In: Proceedings of the 18th ACM
International Conference on Knowledge Discovery and Data Mining, pp. 823831. ACM (2012)
[6] Ye, J., Kumar, S., Akoglu, L.: Temporal opinion spam detection by multivariate indicative signals. In: ICWSM, pp. 743746 (2016)
[7]. Damien Rolon-Merette, Matt Ross, Thadde Rolon-Merette, Kinsey Church, “INTRODUCTION TO ANACONDA AND PYTHON:
INSTALLATION AND SETUP”, Volume:16/Issues:05/2020.
[8]. Stefan van der Walt, S. Chris Colbert, Gael Varoquaux, “THE NUMPY ARRAY: A STRUCTURE FOR EFFICIENT NUMERICAL
COMPUTION” 8 Feb-2011.
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