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Authors: Vassilis Markos 1 and Loizos Michael 2 ; 1

Affiliations: 1 Open University of Cyprus, Nicosia, Cyprus ; 2 CYENS Center of Excellence, Nicosia, Cyprus

Keyword(s): Diversity, Preferences, Ranking, Shuffling.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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; ISSN 2184-433X, SciTePress, pages 323-334. DOI: 10.5220/0010839600003116

@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},
issn={2184-433X},
}

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
IS - 2184-433X
AU - Markos, V.
AU - Michael, L.
PY - 2022
SP - 323
EP - 334
DO - 10.5220/0010839600003116
PB - SciTePress