Skyline Computation on Commercial Data

Michael Galli; Stefan Schnürle; Ruedi Arnold; Marc Pouly

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Paper

Skyline Computation on Commercial Data

Topics: Data Science; Industrial Applications of AI

In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, 465-471, 2016 , Rome, Italy

Authors: Michael Galli ; Stefan Schnürle ; Ruedi Arnold and Marc Pouly

Affiliation: Lucerne University of Applied Sciences and Arts, Switzerland

Keyword(s): Preference-Based Optimization, Skyline Computation, Industrial Application.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Industrial Applications of AI ; Soft Computing

Abstract: Many different skyline algorithms for preference-based search have been proposed and compared in the literature, but most of these evaluations were based on synthetic data. In this paper, we present a case study of skyline computation on commercial data that we consider representative for many e-commerce platforms. The results of our measurements differ significantly from the results reported on synthetic data.

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Paper citation in several formats:

Galli, M.; Schnürle, S.; Arnold, R. and Pouly, M. (2016). Skyline Computation on Commercial Data. In Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-172-4; ISSN 2184-433X, SciTePress, pages 465-471. DOI: 10.5220/0005766604650471

@conference{icaart16,
author={Michael Galli. and Stefan Schnürle. and Ruedi Arnold. and Marc Pouly.},
title={Skyline Computation on Commercial Data},
booktitle={Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2016},
pages={465-471},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005766604650471},
isbn={978-989-758-172-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Skyline Computation on Commercial Data
SN - 978-989-758-172-4
IS - 2184-433X
AU - Galli, M.
AU - Schnürle, S.
AU - Arnold, R.
AU - Pouly, M.
PY - 2016
SP - 465
EP - 471
DO - 10.5220/0005766604650471
PB - SciTePress