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On Nonredundant Cost-Constrained Team Formation

Author

Listed:
  • Yu Zhou

    (School of Computer Science and Technology and School of Software, Xidian University, Xi'an, China)

  • Jianbin Huang

    (State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China & School of Software, Xidian University, Xi'an, China)

  • Heli Sun

    (Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China)

  • Xiaolin Jia

    (Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China)

Abstract

Due to the wide application of the task assignment on the internet, team formation problem has become an important research issue. A recently proposed problem ClusterHire aims to find a team of experts to accomplish multiple projects which can harvest a maximum profit under a limited budget. However, there exist redundancies in the team yielded by existing algorithms. This paper first studies the properties of the problem, and give two pruning strategies based on them. Secondly, a redundancy-eliminating strategy and a team-augmenting strategy are proposed. In addition, a new algorithm for generating a profit-maximizing team is also proposed. It is based on the redundancy-eliminating and team-augmenting strategies. The experimental evaluations show that our proposed strategies and algorithms are effective.

Suggested Citation

  • Yu Zhou & Jianbin Huang & Heli Sun & Xiaolin Jia, 2017. "On Nonredundant Cost-Constrained Team Formation," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 13(3), pages 25-46, July.
    • Handle: RePEc:igg:jdwm00:v:13:y:2017:i:3:p:25-46
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    Cited by:

    1. Heli Sun & Jianbin Huang & Ke Liu & Mengjie Wan & Yu Zhou & Chen Cao & Xiaolin Jia & Liang He, 2018. "Cost-minimizing team hires with participation constraint," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-31, August.

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