Diversity of Structured Domains via k-Kemeny Scores

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Faliszewski, Piotr, Sornat, Krzysztof, Szufa, Stanisław, Wąs, Tomasz
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866914047181455360
author Faliszewski, Piotr
Sornat, Krzysztof
Szufa, Stanisław
Wąs, Tomasz
author_facet Faliszewski, Piotr
Sornat, Krzysztof
Szufa, Stanisław
Wąs, Tomasz
contents In the k-Kemeny problem, we are given an ordinal election, i.e., a collection of votes ranking the candidates from best to worst, and we seek the smallest number of swaps of adjacent candidates that ensure that the election has at most k different rankings. We study this problem for a number of structured domains, including the single-peaked, single-crossing, group-separable, and Euclidean ones. We obtain two kinds of results: (1) We show that k-Kemeny remains intractable under most of these domains, even for k=2, and (2) we use k-Kemeny to rank these domains in terms of their diversity.
format Preprint
id arxiv_https___arxiv_org_abs_2509_15812
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Diversity of Structured Domains via k-Kemeny Scores
Faliszewski, Piotr
Sornat, Krzysztof
Szufa, Stanisław
Wąs, Tomasz
Computer Science and Game Theory
Artificial Intelligence
Multiagent Systems
In the k-Kemeny problem, we are given an ordinal election, i.e., a collection of votes ranking the candidates from best to worst, and we seek the smallest number of swaps of adjacent candidates that ensure that the election has at most k different rankings. We study this problem for a number of structured domains, including the single-peaked, single-crossing, group-separable, and Euclidean ones. We obtain two kinds of results: (1) We show that k-Kemeny remains intractable under most of these domains, even for k=2, and (2) we use k-Kemeny to rank these domains in terms of their diversity.
title Diversity of Structured Domains via k-Kemeny Scores
topic Computer Science and Game Theory
Artificial Intelligence
Multiagent Systems
url https://arxiv.org/abs/2509.15812