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• W2618915936 abstract "We propose a novel mechanism for solving the assignment problem when we have a two sided matching problem with preferences from one side (the agents/reviewers) over the other side (the objects/papers) and both sides have capacity constraints. The assignment problem is a fundamental in both computer science and economics with application in many areas including task and resource allocation. Drawing inspiration from work in multi-criteria decision making and social choice theory we use order weighted averages (OWAs), a parameterized class of mean aggregators, to propose a novel and flexible class of algorithms for the assignment problem. We show an algorithm for finding an SUM-OWA assignment in polynomial time, in contrast to the NP-hardness of finding an egalitarian assignment. We demonstrate through empirical experiments that using SUM-OWA assignments can lead to high quality and more fair assignments." @default.
• W2618915936 created "2017-06-05" @default.
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• W2618915936 date "2018-04-25" @default.
• W2618915936 modified "2023-10-16" @default.
• W2618915936 title "The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods" @default.
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• W2618915936 doi "https://doi.org/10.1609/aaai.v32i1.11484" @default.
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