Matching Market Design with Constraints

Aziz, Haris, Biró, Péter ORCID: https://orcid.org/0000-0001-7011-3463 and Yokoo, Makoto Yokoo (2022) Matching Market Design with Constraints. In: Thirty-Sixth AAAI Conference on Artificial Intelligence / Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence / Twelveth Symposium on Educational Advances in Artificial Intelligence. Proceedings of the AAAI Conference on Artificial Intelligence . Association for the Advancement of Artificial Intelligence (AAAI), Palo Alto, pp. 12308-12316. . ISBN 978 15773 587 6 3 DOI 10.1609/aaai.v36i11.21495

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Official URL: https://doi.org/10.1609/aaai.v36i11.21495

Abstract

Two-sided matching is an important research area that has had a major impact on the design of real-world matching markets. One consistent feature in many of the real-world applications is that they impose new feasibility constraints that lead to research challenges. We survey developments in the field of two-sided matching with various constraints, including those based on regions, diversity, multi-dimensional capacities, and matroids.

Item Type:

Book Section

Series Name:

Proceedings of the AAAI Conference on Artificial Intelligence

Uncontrolled Keywords:

two-sided matching; matching market; real-world application;

Divisions:

Institute of Operations and Decision Sciences

Subjects:

Decision making
Mathematics, Econometrics

Funders:

Hungarian Scientific Research Fund, Hungarian Academy of Sciences