Name
Abstract | ||
|---|---|---|
Search rank fraud, the fraudulent promotion of products hosted on peer-review sites, is driven by expert workers recruited online, often from crowdsourcing sites. In this paper we introduce the fraud de-anonymization problem, that goes beyond fraud detection, to unmask the human masterminds responsible for posting search rank fraud in peer-review sites. We collect and study data f... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TKDE.2020.2975170 | IEEE Transactions on Knowledge and Data Engineering |
Keywords | DocType | Volume |
Crowdsourcing,Google,Standards,Search problems,Gold,Detection algorithms,Supervised learning | Journal | 33 |
Issue | ISSN | Citations |
11 | 1041-4347 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mizanur Rahman | 1 | 129 | 20.97 |
| Néstor Hernández | 2 | 9 | 4.17 |
| Bogdan Carbunar | 3 | 699 | 53.79 |
| Duen Horng Chau | 4 | 1260 | 86.87 |