CROWDMATCH: Optimizing Crowdsourcing Matching through the Integration of Matching Theory and Coalition Games

Adedamola Adesokan, Rowan Kinney and Eirini Eleni Tsiropoulou ()
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Adedamola Adesokan: Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131-0001, USA
Rowan Kinney: Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131-0001, USA
Eirini Eleni Tsiropoulou: Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM 87131-0001, USA

Future Internet, 2024, vol. 16, issue 2, 1-16

Abstract: This paper tackles the challenges inherent in crowdsourcing dynamics by introducing the CROWDMATCH mechanism. Aimed at enabling crowdworkers to strategically select suitable crowdsourcers while contributing information to crowdsourcing tasks, CROWDMATCH considers incentives, information availability and cost, and the decisions of fellow crowdworkers to model the utility functions for both the crowdworkers and the crowdsourcers. Specifically, the paper presents an initial Approximate CROWDMATCH mechanism grounded in matching theory principles, eliminating externalities from crowdworkers’ decisions and enabling each entity to maximize its utility. Subsequently, the Accurate CROWDMATCH mechanism is introduced, which is initiated by the outcome of the Approximate CROWDMATCH mechanism, and coalition game-theoretic principles are employed to refine the matching process by accounting for externalities. The paper’s contributions include the introduction of the CROWDMATCH system model, the development of both Approximate and Accurate CROWDMATCH mechanisms, and a demonstration of their superior performance through comprehensive simulation results. The mechanisms’ scalability in large-scale crowdsourcing systems and operational advantages are highlighted, distinguishing them from existing methods and highlighting their efficacy in empowering crowdworkers in crowdsourcer selection.

Keywords: crowdsourcing; crowdmatching; matching theory; game theory; coalition games (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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