Conference proceeding
Investigating Aspects of Platform Growth on Crowdsource Driven Recommendation Services
2018 4TH IEEE INTERNATIONAL CONFERENCE ON COLLABORATION AND INTERNET COMPUTING (CIC 2018)
01 Jan 2018
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
With the advent of the Internet, crowdsourcing platforms are a viable option for the solicitation of labor and distribution of tasks, online. As platforms develop, expand, and evolve, they employ various approaches to assist job owners and workers in searching for suitable tasks where workers' skillsets and job requirements are aligned and compatible. Recommender systems provide a suitable candidate for such purposes and can assist in worker-job matching. In this paper, through experimentation, we investigate the effect that growth in the labor force and job catalog has on the times to produce recommendations, the jobs recommended to workers and the precision of our collaborative-filtering-oriented bottom-up recommender.
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Details
- Title
- Investigating Aspects of Platform Growth on Crowdsource Driven Recommendation Services
- Creators
- Julian Jarrett - Drexel UniversityM. Brian Blake - Drexel UniversityIEEE
- Publication Details
- 2018 4TH IEEE INTERNATIONAL CONFERENCE ON COLLABORATION AND INTERNET COMPUTING (CIC 2018)
- Publisher
- IEEE
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Web of Science ID
- WOS:000519942300007
- Scopus ID
- 2-s2.0-85059762710
- Other Identifier
- 991019319089304721
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- Web of Science research areas
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic