Are Neighbors Alike? A Semisupervised Probabilistic Collaborative Learning Model for Online Review Spammers Detection
- Zhiang Wu ,
Zhiang Wu
[email protected]https://orcid.org/0000-0002-0591-1861
School of Computer Science, Nanjing Audit University, Nanjing 211815, China
- Guannan Liu ,
Corresponding Author
Guannan Liu
[email protected]https://orcid.org/0000-0002-4532-7109
School of Economics and Management, Beihang University, Beijing 100191, ChinaKey Laboratory of Data Intelligence and Management, Ministry of Industry and Information Technology, Beijing 100191, China
- Junjie Wu ,
Junjie Wu
[email protected]https://orcid.org/0000-0001-7650-3657
School of Economics and Management, Beihang University, Beijing 100191, ChinaKey Laboratory of Data Intelligence and Management, Ministry of Industry and Information Technology, Beijing 100191, China
- Yong Tan
Yong Tan
[email protected]https://orcid.org/0000-0001-8087-3423
Michael G. Foster School of Business, University of Washington, Seattle, Washington 98195
Zhiang Wu
[email protected]https://orcid.org/0000-0002-0591-1861
School of Computer Science, Nanjing Audit University, Nanjing 211815, China
Corresponding Author
Guannan Liu
[email protected]https://orcid.org/0000-0002-4532-7109
School of Economics and Management, Beihang University, Beijing 100191, ChinaKey Laboratory of Data Intelligence and Management, Ministry of Industry and Information Technology, Beijing 100191, China
Junjie Wu
[email protected]https://orcid.org/0000-0001-7650-3657
School of Economics and Management, Beihang University, Beijing 100191, ChinaKey Laboratory of Data Intelligence and Management, Ministry of Industry and Information Technology, Beijing 100191, China
Yong Tan
[email protected]https://orcid.org/0000-0001-8087-3423
Michael G. Foster School of Business, University of Washington, Seattle, Washington 98195
