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Distributed ACO Based Reputation Management in Crowdsourcing

  • Safina Showkat AraEmail author
  • Subhasis Thakur
  • John G. Breslin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11874)

Abstract

Crowdsourcing is an economical and efficient tool that hires human labour to execute tasks which are difficult to solve otherwise. Verification of the quality of the workers is a major problem in Crowd sourcing. We need to judge the performance of the workers based on their history of service and it is difficult to do so without hiring other workers. In this paper, we propose an Ant Colony Optimization (ACO) based reputation management system that can differentiate between good and bad workers. Using experimental evaluation, we show that, the algorithm works fine on the real scenario and efficiently differentiate workers with higher reputations.

Keywords

Crowdsourcing Reputation Ant Colony Optimization Decentralised social network 

Notes

Acknowledgement

This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/ 2289-P2(Insight) and by a research grant from SFI and the Department of Agriculture, Food and the Marine on behalf of the Government of Ireland under Grant Number SFI/12/RC/3835(VistaMilk), co-funded by the European Regional Development Fund.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Safina Showkat Ara
    • 1
    Email author
  • Subhasis Thakur
    • 1
  • John G. Breslin
    • 1
  1. 1.Insight Centre for Data AnalyticsNUI GalwayGalwayIreland

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