Abstract
Teams are an important organizational unit and need to be composed appropriately. Whenever a high number of possible team members exists, the complexity of the composition task can not be effectively handled by humans. To support the composition in this scenario, team recommenders can be used. In this paper we discuss and formalize a flexible approach using a generic meta model for implementing various team composition strategies derived from a literature review. In order to demonstrate its use and its compatibility with a generic team recommendation approach, we then translate some of the theoretical team composition approaches found in the literature.
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Brocco, M., Groh, G., Forster, F. (2010). A Meta Model for Team Recommendations. In: Bolc, L., Makowski, M., Wierzbicki, A. (eds) Social Informatics. SocInfo 2010. Lecture Notes in Computer Science, vol 6430. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16567-2_3
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DOI: https://doi.org/10.1007/978-3-642-16567-2_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16566-5
Online ISBN: 978-3-642-16567-2
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