ARCHIVES

[1] X. Feng, Y. Zhang, J. Liu, and M. Li, "A survey on fake review detection: Techniques, datasets, and tools," in Proceedings of the 25th
International Conference on World Wide Web, pp. 1477-1478, 2016.
[2] [2] H. Li, B. Liu, A. Mukherjee , J. Shao, and Y. Liu, "Spotting fake reviews using positive-unlabeled learning," in Proceedings of the
27th ACM International Conference on Information and Knowledge Management, pp. 2329-2338, 2018.
[3] B. Liu, Y. Liu, M. Li, and X. Su, "Identifying fake hotel reviews," in Proceedings of the 22nd ACM International Conference on
Information and Knowledge Management, pp. 1295-1304, 2013.
4] J. Jadhav and D. Parasar, "Fake review detection system through analytics of sales data," in Proceedings of the 3rd International
Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 791-796, 2018.
[5] Y. Hu, J. Cheng, and B. Liu, "Fake review detection for online hotel booking," in Proceedings of the 55th Annual Meeting of the
Association for Computational Linguistics (Volume 1: Long Papers), pp. 33013309, 2017.
[6] J. Liu, Y. Liu, M. Li, and X. Su, "Identifying fake reviews using temporal patterns," in Proceedings of the 25th International
Conference on World Wide Web, pp. 1479-1480, 2016.
[7] Q. Wang, X. Feng, J. Liu, and M. Li, "Identifying fake reviews using tree-based learning algorithms," in Proceedings of the 26th
International Conference on World Wide Web, pp. 1461-1470, 2017.
[8] Y. Liu, J. Liu, M. Li, and X. Su, "Identifying fake reviews using graphbased features," in Proceedings of the 24th ACM International Conference on Information and Knowledge Management, pp. 169178, 2015.
[9] H. Xu, B. Liu, M. Li, and X. Su, "A survey on fake review detection," ACM Computing Surveys, vol. 53, no. 4, pp. 1-38, 2020.