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AAAI 2021

A Market-Inspired Bidding Scheme for Peer Review Paper Assignment

Conference Paper AAAI Technical Track Focus Area on AI for Conference Organization and Delivery Artificial Intelligence

Abstract

We propose a market-inspired bidding scheme for the assignment of paper reviews in large academic conferences. We provide an analysis of the incentives of reviewers during the bidding phase, when reviewers have both private costs and some information about the demand for each paper; and their goal is to obtain the best possible k papers for a predetermined k. We show that by assigning ‘budgets’ to reviewers and a ‘price’ for every paper that is (roughly) proportional to its demand, the best response of a reviewer is to bid sincerely, i. e. , on her most favorite papers, and match the budget even when it is not enforced. This game-theoretic analysis is based on a simple, prototypical assignment algorithm. We show via extensive simulations on bidding data from real conferences, that our bidding scheme would substantially improve both the bid distribution and the resulting assignment.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
971453293553169618