Abstract | ||
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Crowdsourcing allows requesters to allocate tasks to a group of workers on the Internet to make use of their collective intelligence. Quality control is a key design objective in incentive mechanisms for crowdsourcing as requesters aim at obtaining high-quality answers under a limited budget. However, when measuring workers' long-term quality, existing mechanisms either fail to utilize workers' hi... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TPDS.2017.2775232 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | DocType | Volume |
Crowdsourcing,Resource management,Quality control,Atmospheric measurements,Particle measurements,Inference algorithms | Journal | 29 |
Issue | ISSN | Citations |
4 | 1045-9219 | 8 |
PageRank | References | Authors |
0.43 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hongwei Wang | 1 | 11 | 1.84 |
Song Guo | 2 | 3431 | 278.71 |
Jiannong Cao | 3 | 5226 | 425.12 |
Minyi Guo | 4 | 3969 | 332.25 |