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Authors: Mohammed Alqahtani ; Susan Gauch ; Omar Salman ; Mohammed Ibrahim and Reem Al-Saffar

Affiliation: Department of Computer Science, University of Arkansas, Fayetteville, AR, U.S.A

Keyword(s): Information Retrieval, Team Formation, Diversity Team Formation.

Abstract: The goal of group formation is to build a team to accomplish a specific task. Algorithms are employed to improve the effectiveness of the team so formed and the efficiency of the group selection process. However, there is concern that team formation algorithms could be biased against minorities due to the algorithms themselves or the data on which they are trained. Hence, it is essential to build fair team formation systems that incorporate demographic information into the process of building the group. Although there has been extensive work on modeling individuals’ expertise for expert recommendation and/or team formation, there has been relatively little prior work on modeling demographics and incorporating demographics into the group formation process. We propose a novel method to represent experts’ demographic profiles based on multidimensional demographic features. Moreover, we introduce two diversity ranking algorithms that form a group by considering demographic features along with the minimum required skills. Unlike many ranking algorithms that consider one Boolean demographic feature (e.g., gender or race), our diversity ranking algorithms consider multiple multivalued demographic attributes simultaneously. We evaluate our proposed algorithms using a real dataset based on members of a computer science program committee. The result shows that our algorithms form a program committee that is more diverse with an acceptable loss in utility. (More)

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Paper citation in several formats:
Alqahtani, M.; Gauch, S.; Salman, O.; Ibrahim, M. and Al-Saffar, R. (2020). Diverse Group Formation based on Multiple Demographic Features. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KDIR; ISBN 978-989-758-474-9; ISSN 2184-3228, SciTePress, pages 169-178. DOI: 10.5220/0010106301690178

@conference{kdir20,
author={Mohammed Alqahtani. and Susan Gauch. and Omar Salman. and Mohammed Ibrahim. and Reem Al{-}Saffar.},
title={Diverse Group Formation based on Multiple Demographic Features},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KDIR},
year={2020},
pages={169-178},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010106301690178},
isbn={978-989-758-474-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - KDIR
TI - Diverse Group Formation based on Multiple Demographic Features
SN - 978-989-758-474-9
IS - 2184-3228
AU - Alqahtani, M.
AU - Gauch, S.
AU - Salman, O.
AU - Ibrahim, M.
AU - Al-Saffar, R.
PY - 2020
SP - 169
EP - 178
DO - 10.5220/0010106301690178
PB - SciTePress

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