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16 August 2023 Truthful incentive mechanism for multi-task assignment in crowdsouricng
Peiyao Zhang, Yueguo Zhang
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Proceedings Volume 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023); 1278726 (2023) https://doi.org/10.1117/12.3004704
Event: 6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023), 2023, Shenyang, China
Abstract
Crowdsourcing is a very popular model on the Internet. It is a common task assignment method to assign multiple tasks according to workers' subjective preferences in crowdsourcing. However, workers may exchange for higher utility by providing false information. To this end, this paper proposes a truthful incentive mechanism for multi-task assignment in crowdsourcing. By introducing an incentive mechanism and designing the allocation algorithm and payment algorithm separately, workers will adopt the behavior that the platform expects to see when participating in task assignment. Experiments show that the task assignment mechanism is truthful, and satisfies individual rationality and incentive compatibility. Moreover, the mechanism can obtain results in linear time and has good computing performance.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Peiyao Zhang and Yueguo Zhang "Truthful incentive mechanism for multi-task assignment in crowdsouricng", Proc. SPIE 12787, Sixth International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2023), 1278726 (16 August 2023); https://doi.org/10.1117/12.3004704
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KEYWORDS
Silicon
Internet
Automation
Design and modelling
Electrical engineering
Engineering
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