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Multi-aspect group formation using facility location analysis

Neshati, M ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1145/2407085.2407094
  3. Publisher: 2012
  4. Abstract:
  5. In this paper, we propose an optimization framework to retrieve an optimal group of experts to perform a given multi-aspect task/project. Each task needs a diverse set of skills and the group of assigned experts should be able to collectively cover all required aspects of the task. We consider three types of multiaspect team formation problems and propose a unified framework to solve these problems accurately and efficiently. Our proposed framework is based on Facility Location Analysis (FLA) which is a well known branch of the Operation Research (OR). Our experiments on a real dataset show significant improvement in comparison with the state-of-the art approaches for the team formation problem
  6. Keywords:
  7. Facility location analysis ; Multi aspect team formation ; Data sets ; Expert finding ; Expert matching ; Facility locations ; Group formations ; Multiaspect ; Operation research ; Optimization framework ; State of the art ; Task-needs ; Team formation ; Unified framework ; Optimization ; Problem solving
  8. Source: Proceedings of the 17th Australasian Document Computing Symposium, ADCS 2012 ; 2012 , Pages 62-71 ; 9781450314114 (ISBN)
  9. URL: http://dl.acm.org/citation.cfm?doid=2407085.2407094