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Authors: Thiago Alexandre Nakao França 1 ; Rodrigo Campiolo 1 and Lilian Caroline Xavier Candido 2

Affiliations: 1 Department of Computer Science, Federal University of Technology – Paraná, Campo Mourão, Paraná, Brazil ; 2 Department of Mathematics, Federal University of Technology – Paraná, Campo Mourão, Paraná, Brazil

Keyword(s): Web Crawler, Integer Linear Programming, Caching, e-Commerce.

Abstract: This work proposes and evaluates mechanisms to converge to the purchase configuration with minimal cost for a product list in an online stores cluster. We collected and stored product prices in a database, and used caching to reduce client response time. We designed, implemented, and compared two Integer Linear Programming solutions to achieve purchase configuration with minimal cost. A case study was conducted to evaluate these mechanisms. The results demonstrated that developed mechanisms found optimal solutions with response time guarantees. Empirical tests in the case study with 100 different products and 118 providers converged in about 9 seconds.

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Paper citation in several formats:
França, T.; Campiolo, R. and Candido, L. (2022). A Case Study for Minimal Cost Shopping in a Cluster of Online Stores. In Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-569-2; ISSN 2184-4992, SciTePress, pages 717-723. DOI: 10.5220/0011040000003179

@conference{iceis22,
author={Thiago Alexandre Nakao Fran\c{C}a. and Rodrigo Campiolo. and Lilian Caroline Xavier Candido.},
title={A Case Study for Minimal Cost Shopping in a Cluster of Online Stores},
booktitle={Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2022},
pages={717-723},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011040000003179},
isbn={978-989-758-569-2},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 24th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - A Case Study for Minimal Cost Shopping in a Cluster of Online Stores
SN - 978-989-758-569-2
IS - 2184-4992
AU - França, T.
AU - Campiolo, R.
AU - Candido, L.
PY - 2022
SP - 717
EP - 723
DO - 10.5220/0011040000003179
PB - SciTePress

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