Spam Detection Using Rating and Review Processing Method
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-8971-8_18
Reference19 articles.
1. Y. Lin, T. Zhu, X. Wang, J. Zhang, and A. Zhou, “Towards online review spam detection,” in Proceedings of the 23rd International Conference on World Wide Web. ACM, 2014, pp. 341–342.
2. A. Heydari, M. ali Tavakoli, N. Salim, and Z. Heydari, “Detection of review spam: A survey,” Expert Systems with Applications, vol. 42, no. 7, pp. 3634–3642, 2015.
3. S. Xie, G. Wang, S. Lin, and P. S. Yu, “Review spam detection via temporal pattern discovery,” in Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, 2012, pp. 823–831.
4. Y. Lin, T. Zhu, H. Wu, J. Zhang, X. Wang, and A. Zhou, “Towards online anti-opinion spam: Spotting fake reviews from the review sequence,” in Advances in Social Networks Analysis and Mining (ASONAM), 2014 IEEE/ACM International Conference on. IEEE, 2014, pp. 261–264.
5. E.-P. Lim, V.-A. Nguyen, N. Jindal, B. Liu, and H. W. Lauw, “Detecting product review spammers using rating behaviors,” in Proceedings of the 19th ACM international conference on Information and knowledge management. ACM, 2010, pp. 939–948.
Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Unmasking deception: a CNN and adaptive PSO approach to detecting fake online reviews;Soft Computing;2023-06-03
2. DHMFRD – TER: a deep hybrid model for fake review detection incorporating review texts, emotions, and ratings;Multimedia Tools and Applications;2023-05-26
3. Applying Deep Learning Methods on Spam Review Detection;2023 7th International Conference on Computing Methodologies and Communication (ICCMC);2023-02-23
4. Spam Reviews Detection in the Time of COVID-19 Pandemic: Background, Definitions, Methods and Literature Analysis;Applied Sciences;2022-04-03
5. Quality Prediction of Wearable Apps in the Google Play Store;Intelligent Automation & Soft Computing;2022
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3