A framework for trust-based multidisciplinary team recommendation

• Main Authors: Bossi, Lorenzo, Braghin, Stefano, Datta, Anwitaman, Trombetta, Alberto
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Social sciences::General
• 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
• Institution: Nanyang Technological University

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.