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arXiv · 1705.06840

The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods

Jing Wu Lian·Nicholas Mattei·Renee Noble·Toby Walsh
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Abstract

Motivated by the common academic problem of allocating papers to referees for conference reviewing 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 problem in both computer science and economics with application in many areas including task and resource allocation. We draw inspiration from multi-criteria decision making and voting and use order weighted averages (OWAs) to propose a novel and flexible class of algorithms for the assignment problem. We show an algorithm for finding a $Σ$-OWA assignment in polynomial time, in contrast to the NP-hardness of finding an egalitarian assignment. Inspired by this setting we observe an interesting connection between our model and the classic proportional multi-winner election problem in social choice.

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Jing Wu Lian, Nicholas Mattei, Renee Noble, Toby Walsh. 2017-05-19. The Conference Paper Assignment Problem: Using Order Weighted Averages to Assign Indivisible Goods. https://arxiv.org/abs/1705.06840

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