Task allocation for crowdsourcing using AI planning-Reference-Cited by-同舟云学术

Task allocation for crowdsourcing using AI planning

Published:2016 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd International Workshop on CrowdSourcing in Software Engineering - CSI-SE '16
language:
Short-container-title:

Author:

Machado Leticia¹,Prikladnicki Rafael¹,Meneguzzi Felipe¹,de Souza Cleidson R. B.²,Carmel Erran³

Affiliation:

1. PUCRS, Porto Alegre, Brazil

2. Vale Institute of Technology, UFPA, Belém, Brazil

3. American University, Washington DC

Funder

CNPq

Publisher

ACM Press

Reference10 articles.

1. Zhao, Y. and Zhu, Q. "Evaluation on crowdsourcing research: Current status and future direction". Springer Science+Business Media, LLC, 2012.

2. Vukovic, M. "Crowdsourcing for enterprises". In Proceedings of the Congress on Services, pp. 686--692. IEEE Computer Society, 2009.

3. Machado, L., Pereira, G., Prikladnicki, R., Carmel, E., & de Souza, C. R. "Crowdsourcing in the Brazilian IT industry: what we know and what we don't know". In Proceedings of the 1st International Workshop on Crowd-based Software Development Methods and Technologies (pp. 7--12). ACM, November 2014.

4. Hetmank, L. "Towards a Semantic Standard for Enterprise Crowdsourcing -- A Scenario-based Evaluation of a Conceptual Prototype". In 21st European Conference on In-formation Systems (ECIS). Utrecht, 2013.

5. Lykourentzou, I., Vergados, D. J., Papadaki, K., & Naudet, Y. "Guided crowdsourcing for collective work coordination in corporate environments". In Computational Collective Intelligence. Technologies and Applications (pp. 90--99). Springer Berlin Heidelberg, 2013.

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