Results 21 to 30 of about 180,500 (306)
On Fairness and Stability in Two-Sided Matchings
CoRR, 2021 There are growing concerns that algorithms, which increasingly make or influence important decisions pertaining to individuals, might produce outcomes that discriminate against protected groups. We study such fairness concerns in the context of a two-sided market, where there are two sets of agents, and each agent has preferences over the other set ...
Karni, Gili, Rothblum, Guy N., Yona, Gal
openaire +4 more sources
Deep Learning for Two-Sided Matching
CoRR, 2021 We initiate the study of deep learning for the automated design of two-sided matching mechanisms. What is of most interest is to use machine learning to understand the possibility of new tradeoffs between strategy-proofness and stability. These properties cannot be achieved simultaneously, but the efficient frontier is not understood.
Sai Srivatsa Ravindranath +5 more
openaire +2 more sources
Spatial Two-Sided Online Bottleneck Matching With Deadlines
IEEE Access, 2020 Recently, there are several studies focusing on the bottleneck optimization objective in Spatial Crowdsourcing (SC). However, these studies usually do not consider the deadline constraint.
Long Li, Weifeng Lv
doaj +1 more source
Matching with compatibility constraints: The case of the Canadian medical residency match
Journal of Mechanism and Institution Design, 2020 The Canadian medical residency match has received considerable attention in the medical community as several students go unmatched every year. Simultaneously, several residency positions go unfilled, largely in Quebec, the Francophone province of Canada.
Muhammad Maaz, Anastasios Papanastasiou
doaj +1 more source
Dynamic Pricing and Matching for Two-Sided Queues [PDF]
Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, 2020 Motivated by applications from gig economy and online marketplaces, we study a two-sided queueing system under joint pricing and matching controls. The queueing system is modeled by a bipartite graph, where the vertices represent customer or server types and the edges represent compatible customer-server pairs.
Sushil Mahavir Varma +3 more
openaire +3 more sources
Interviewing in two‐sided matching markets [PDF]
The RAND Journal of Economics, 2017 We introduce the interview assignment problem, which generalizes classic one‐to‐one matching models by introducing a stage of costly information acquisition. Firms learn preferences over workers via costly interviews. Even if all firms and workers conduct the same number of interviews, realized unemployment depends also on the extent to which agents ...
Robin S. Lee, Michael Schwarz
openaire +1 more source
Two-Sided Matching Meets Fair Division [PDF]
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021 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.
Rupert Freeman +2 more
openaire +2 more sources
Two-Sided Matching on Comprehensive Transportation Network Emergency Vehicles’ Allocation
Journal of Advanced Transportation, 2021 In emergency rescue, the allocation of comprehensive transportation network emergency vehicles often affects the efficiency of the whole rescue process. In the context of disasters, this paper researches the one-to-many two-sided matching problem between
Kunwei Xie, Heying Xu, Hongxia Lv
doaj +1 more source
International Journal of Computational Intelligence Systems, 2022 Driven by the development of platform economy, two-sided matching decision-making (TSDM) has become one of the most important applications in the field of intelligent computation system. Many recommendation systems based on TSDM have facilitated our life.
Junchang Qin +4 more
doaj +1 more source
Two-sided matching with partial information [PDF]
Proceedings of the fourteenth ACM conference on Electronic commerce, 2013 The traditional model of two-sided matching assumes that all agents fully know their own preferences. As markets grow large, however, it becomes impractical for agents to precisely assess their rankings over all agents on the other side of the market.
Baharak Rastegari +3 more
openaire +2 more sources