@inproceedings{5d9dbde71a4546f390e982db60916406,
title = "Multi-Aspect Group Formation using Facility Location Analysis",
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.",
keywords = "EWI-22837, IR-83485, METIS-293293",
author = "Mahmood Neshati and Hamid Beigy and Djoerd Hiemstra",
note = "10.1145/2407085.2407094 ; null ; Conference date: 01-12-2012",
year = "2012",
month = dec,
doi = "10.1145/2407085.2407094",
language = "Undefined",
isbn = "978-1-4503-1411-4",
publisher = "Association for Computing Machinery (ACM)",
pages = "62--71",
booktitle = "Proceedings of the Seventeenth Australasian Document Computing Symposium (ADCS 2012)",
address = "United States",
}