Conference proceeding
Towards a Distributed Worker-Job Matching Architecture for Crowdsourcing
2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), pp 9-11
Jun 2016
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
While the crowd sourcing paradigm facilitates the use of human-enacted resources from large groups of individuals, matching workers with jobs is limited by the need for these potential workers to proactively subscribe to various networks. This subscription phase is part of an "open call model" that reduces the ability for crowd sourcing platforms to scale or retain crowd-oriented workers. Leveraging collaborative filtering techniques, in this paper, we propose an alternative model that seeks to address the issue through a recommendation technique and system that exploits a push-pull model.
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Details
- Title
- Towards a Distributed Worker-Job Matching Architecture for Crowdsourcing
- Creators
- Julian Jarrett - Drexel UniversityM. Brian Blake - Drexel University
- Publication Details
- 2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), pp 9-11
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Web of Science ID
- WOS:000390313000003
- Scopus ID
- 2-s2.0-84983789005
- Other Identifier
- 991019318937004721
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- Web of Science research areas
- Computer Science, Hardware & Architecture
- Engineering, Electrical & Electronic