Fairness in Preference Queries: Social Choice Theories Meet Data Management

Document Type

Conference Proceeding

Publication Date

1-1-2024

Abstract

Given a large number (notationallym) of users’ (members or voters) preferences as inputs over a large number of items or candidates (notationally n), preference queries leverage different preference aggregation methods to aggregate individual preferences in a systematic manner and come up with a single output (either a complete order or top-k, ordered or unordered) that is most representative of the users’ preferences. The goal of this 1.5 hour lecture style tutorial is to adapt different preference aggregation methods from social choice theories, summarize how existing research has handled fairness over these methods, identify their limitations, and outline new research directions.

Identifier

85205288487 (Scopus)

Publication Title

Proceedings of the VLDB Endowment

External Full Text Location

https://doi.org/10.14778/3685800.3685841

e-ISSN

21508097

First Page

4225

Last Page

4228

Issue

12

Volume

17

Grant

1942913

Fund Ref

National Science Foundation

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