A Research of Taobao Cheater Detection
Open Access
- 1 January 2014
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- Spotting opinion spammers using behavioral footprintsPublished by Association for Computing Machinery (ACM) ,2013
- Identify Online Store Review Spammers via Social Review GraphACM Transactions on Intelligent Systems and Technology, 2012
- Review spam detection via temporal pattern discoveryPublished by Association for Computing Machinery (ACM) ,2012
- Spotting fake reviewer groups in consumer reviewsPublished by Association for Computing Machinery (ACM) ,2012
- Exploiting shopping and reviewing behavior to re-score online evaluationsPublished by Association for Computing Machinery (ACM) ,2012
- Detecting group review spamPublished by Association for Computing Machinery (ACM) ,2011
- Detecting product review spammers using rating behaviorsPublished by Association for Computing Machinery (ACM) ,2010
- Distortion as a validation criterion in the identification of suspicious reviewsPublished by Association for Computing Machinery (ACM) ,2010
- An overview of statistical learning theoryIEEE Transactions on Neural Networks, 1999