Multi-aspect group formation using facility location analysis

Mahmood Neshati, Hamid Beigy, Djoerd Hiemstra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

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 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.

Original languageEnglish
Title of host publicationProceedings of the 17th Australasian Document Computing Symposium, ADCS 2012
Pages62-71
Number of pages10
DOIs
Publication statusPublished - 1 Dec 2012
Event17th Australasian Document Computing Symposium, ADCS 2012 - Dunedin, New Zealand
Duration: 5 Dec 20126 Dec 2012

Publication series

NameProceedings of the 17th Australasian Document Computing Symposium, ADCS 2012

Conference

Conference17th Australasian Document Computing Symposium, ADCS 2012
CountryNew Zealand
CityDunedin
Period5/12/126/12/12

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Keywords

  • Expert finding
  • Expert matching
  • Facility location analysis
  • Multi aspect team formation

ASJC Scopus subject areas

  • Software

Cite this

Neshati, M., Beigy, H., & Hiemstra, D. (2012). Multi-aspect group formation using facility location analysis. In Proceedings of the 17th Australasian Document Computing Symposium, ADCS 2012 (pp. 62-71). (Proceedings of the 17th Australasian Document Computing Symposium, ADCS 2012). https://doi.org/10.1145/2407085.2407094