A framework for trust-based multidisciplinary team recommendation
Often one needs to form teams in order to perform a complex collaborative task. Therefore, it is interesting and useful to assess how well constituents of a team have performed, and leverage this knowledge to guide future team formation. In this work we propose a model for assessing the reputation o...
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| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/104827 http://hdl.handle.net/10220/17024 http://link.springer.com/chapter/10.1007%2F978-3-642-38844-6_4 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Often one needs to form teams in order to perform a complex collaborative task. Therefore, it is interesting and useful to assess how well constituents of a team have performed, and leverage this knowledge to guide future team formation. In this work we propose a model for assessing the reputation of participants in collaborative teams. The model takes into account several features such as the different skills that a participant has and the feedback of team participants on her/his previous works. We validate our model based on synthetic datasets extrapolated from real-life scenarios. |
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