Conference Paper/Proceeding/Abstract 733 views 54 downloads
Identifying and Rewarding Subcrowds in Crowdsourcing
22nd European Conference on Artificial Intelligence, Volume: 285: ECAI 2016, Pages: 1573 - 1574
Swansea University Author: Xiuyi Fan
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DOI (Published version): 10.3233/978-1-61499-672-9-1573
Abstract
Identifying and rewarding truthful workers are key to the sustainability of crowdsourcing platforms. In this paper, we present a clustering based rewarding mechanism that rewards workers based on their truthfulness while accommodating the differences in workers' preferences. Experimental result...
| Published in: | 22nd European Conference on Artificial Intelligence |
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| ISBN: | 978-1-61499-671-2 978-1-61499-672-9 |
| ISSN: | 0922-6389 1879-8314 |
| Published: |
The Hague, The Netherlands
22nd European Conference on Artificial Intelligence
2016
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa39397 |
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| Abstract: |
Identifying and rewarding truthful workers are key to the sustainability of crowdsourcing platforms. In this paper, we present a clustering based rewarding mechanism that rewards workers based on their truthfulness while accommodating the differences in workers' preferences. Experimental results show that the proposed approach can effectively discover subcrowds under various conditions, and truthful workers are better rewarded than less truthful ones. |
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| College: |
Faculty of Science and Engineering |
| Start Page: |
1573 |
| End Page: |
1574 |