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Keane, Peter (2020) Patent Collaboration and Team Formation. Masters thesis, National University of Ireland Maynooth.
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Abstract
The team formation problem has existed for many years in various guises. One important
problem in the team formation problem is to produce small teams that have a required set
of skills. We propose a framework that incorporates machine learning to predict unobserved
links between collaborators, alongside Steiner tree problem solutions to form small teams
to cover given tasks. Our framework not only considers size of the team but also how
likely team members are to collaborate with each other. The framework is tested on sets of
data from two different companies. The results show that this model consistently returns
smaller collaborative teams.
| Item Type: | Thesis (Masters) |
|---|---|
| Keywords: | Patent Collaboration; Team Formation; |
| Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 13608 |
| Depositing User: | IR eTheses |
| Date Deposited: | 17 Nov 2020 14:40 |
| URI: | https://mu.eprints-hosting.org/id/eprint/13608 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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