TY - GEN
T1 - Multiple levels of importance in matching with distributional constraints
AU - Aziz, Haris
AU - Gaspers, Serge
AU - Sun, Zhaohong
AU - Yokoo, Makoto
N1 - Publisher Copyright:
© 2020 International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS). All rights reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - In this paper, we study the two-sided matching problem with soft diversity constraints in which each student belongs to one type and each school imposes soft targets on each type. We first identify limitations of type-specific quotas in a previous model and introduce a new general model that takes different levels of importance of types into account. Then we propose a new algorithm that yields a non-wasteful and fair outcome with respect to different levels of importance.
AB - In this paper, we study the two-sided matching problem with soft diversity constraints in which each student belongs to one type and each school imposes soft targets on each type. We first identify limitations of type-specific quotas in a previous model and introduce a new general model that takes different levels of importance of types into account. Then we propose a new algorithm that yields a non-wasteful and fair outcome with respect to different levels of importance.
UR - http://www.scopus.com/inward/record.url?scp=85096703555&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85096703555&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85096703555
T3 - Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
SP - 1759
EP - 1761
BT - Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020
A2 - An, Bo
A2 - El Fallah Seghrouchni, Amal
A2 - Sukthankar, Gita
PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
T2 - 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020
Y2 - 19 May 2020
ER -