Two-Sided Matching Meets Fair Division
Not on the map. Why?
Abstract (arXiv)
We introduce a new model for two-sided matching which allows us to borrow popular fairness notions from the fair division literature such as envy-freeness up to one good and maximin share guarantee. In our model, each agent is matched to multiple agents on the other side over whom she has additive preferences. We demand fairness for each side separately, giving rise to notions such as double envy-freeness up to one match (DEF1) and double maximin share guarantee (DMMS). We show that (a slight strengthening of) DEF1 cannot always be achieved, but in the special case where both sides have identical preferences, the round-robin algorithm with a carefully designed agent ordering achieves it. In contrast, DMMS cannot be achieved even when both sides have identical preferences.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 8 of its 32 references that are in the map. First posted on arXiv 15 Jul 2021.
Builds on
8 of 32 references.
References · 8
- 2020FairRec: Two-Sided Fairness for Personalized Recommendations in Two-Sided Platformscited by 77
- 2020Best of Both Worlds: Ex-Ante and Ex-Post Fairness in Resource Allocationcited by 15
- 2018Fair Division Under Cardinality Constraintscited by 10
- 2020Almost Envy-free Repeated Matching in Two-sided Marketscited by 7
- 2020Simultaneously Achieving Ex-ante and Ex-post Fairnesscited by 6
- 2019Envy-Freeness in House Allocation Problemscited by 5
- 2019Envy-free Matchings in Bipartite Graphs and their Applications to Fair Divisioncited by 4
- 2017Envy-free Matchings with Lower Quotascited by 3
Built on by
Citing papers per year: 2023: 1; 2024: 4.
5 papers.
- 2023Fairness in Matching under Uncertaintycited by 5
- 2024Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food Allocationcited by 3
- 2024Fair Division with Market Valuescited by 2
- 2024Stable Matching with Ties: Approximation Ratios and Learningcited by 2
- 2024Centralized Selection with Preferences in the Presence of Biasescited by 0
- 2024Stable Matching with Ties: Approximation Ratios and Learning5 Nov 2024
- 2024Fair Division with Market Values30 Oct 2024
- 2024Centralized Selection with Preferences in the Presence of Biases7 Sep 2024
- 2024Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food Allocation10 Jun 2024
- 2023Fairness in Matching under Uncertainty8 Feb 2023