Multi-Aspect Group Formation using Facility Location Analysis

Mahmood Neshati, Hamid Beigy, Djoerd Hiemstra

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)
13 Downloads (Pure)

Abstract

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 multi-aspect 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.
Original languageUndefined
Title of host publicationProceedings of the Seventeenth Australasian Document Computing Symposium (ADCS 2012)
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages62-71
Number of pages10
ISBN (Print)978-1-4503-1411-4
DOIs
Publication statusPublished - Dec 2012

Publication series

Name
PublisherACM

Keywords

  • EWI-22837
  • IR-83485
  • METIS-293293

Cite this

Neshati, M., Beigy, H., & Hiemstra, D. (2012). Multi-Aspect Group Formation using Facility Location Analysis. In Proceedings of the Seventeenth Australasian Document Computing Symposium (ADCS 2012) (pp. 62-71). New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/2407085.2407094
Neshati, Mahmood ; Beigy, Hamid ; Hiemstra, Djoerd. / Multi-Aspect Group Formation using Facility Location Analysis. Proceedings of the Seventeenth Australasian Document Computing Symposium (ADCS 2012). New York : Association for Computing Machinery (ACM), 2012. pp. 62-71
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Neshati, M, Beigy, H & Hiemstra, D 2012, Multi-Aspect Group Formation using Facility Location Analysis. in Proceedings of the Seventeenth Australasian Document Computing Symposium (ADCS 2012). Association for Computing Machinery (ACM), New York, pp. 62-71. https://doi.org/10.1145/2407085.2407094

Multi-Aspect Group Formation using Facility Location Analysis. / Neshati, Mahmood; Beigy, Hamid; Hiemstra, Djoerd.

Proceedings of the Seventeenth Australasian Document Computing Symposium (ADCS 2012). New York : Association for Computing Machinery (ACM), 2012. p. 62-71.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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AB - 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 multi-aspect 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.

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Neshati M, Beigy H, Hiemstra D. Multi-Aspect Group Formation using Facility Location Analysis. In Proceedings of the Seventeenth Australasian Document Computing Symposium (ADCS 2012). New York: Association for Computing Machinery (ACM). 2012. p. 62-71 https://doi.org/10.1145/2407085.2407094