Post-hoc Diversity-aware Curation of Rankings

Vassilis Markos, Loizos Michael, Loizos Michael

2022

Abstract

We consider the problem of constructing rankings that exhibit a prescribed level of diversity. We take a black- box view of the ranking procedure itself, and choose, instead, to post-hoc curate any given ranking, deviating from the original ranking only to the extent allowed by any given constraints. The curation algorithm that we present is oblivious to how diversity is measured, and returns shuffled versions of the original rankings that are optimal in terms of their exhibited level of diversity. Our empirical evaluation on synthetic data demonstrates the effectiveness and efficiency of our methodology, across a number of diversity metrics from the literature.

Paper Citation

in Harvard Style

Markos V. and Michael L. (2022). Post-hoc Diversity-aware Curation of Rankings. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-547-0, pages 323-334. DOI: 10.5220/0010839600003116

in Bibtex Style

@conference{icaart22,
author={Vassilis Markos and Loizos Michael},
title={Post-hoc Diversity-aware Curation of Rankings},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2022},
pages={323-334},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010839600003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Post-hoc Diversity-aware Curation of Rankings
SN - 978-989-758-547-0
AU - Markos V.
AU - Michael L.
PY - 2022
SP - 323
EP - 334
DO - 10.5220/0010839600003116