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The zen of multidisciplinary team recommendation. arXiv e-print 1303.0646 (2013)
| Content Provider | CiteSeerX |
|---|---|
| Author | Datta, Anwitaman Braghin, Stefano Tan, Jackson Yong, Teck |
| Abstract | In order to accomplish complex tasks, it is often nec-essary to compose a team consisting of experts with diverse competencies. However, for proper function-ing, it is also preferable that a team be socially co-hesive. A team recommendation system, which fa-cilitates the search for potential team members can be of great help both for (i) individuals who need to seek out collaborators and (ii) managers who need to build a team for some specific tasks. A decision support system which readily helps summarize such metrics, and possibly rank the teams in a personalized manner according to the end users’ preferences, can be a great tool to navigate what would otherwise be an information avalanche. In this work we present a general framework of how to compose such subsystems together to build a com-posite team recommendation system, and instantiate it for a case study of academic teams. 1 |
| File Format | |
| Publisher Date | 2013-01-01 |
| Access Restriction | Open |
| Content Type | Text |
