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Authors: Andre Luiz Firmino Alves 1 ; Cláudio Baptista 2 ; José Itallo Martins Silva Diniz 2 ; Francisco Igor de Lima Mendes 2 and Mateus Cunha 2

Affiliations: 1 Federal Institute of Paraíba, Brazil ; 2 Federal University of Campina Grande, Brazil

Keyword(s): Cross-Lingual Learning, Record Linkage, Product Matching, Information Retrieval.

Abstract: Organizations increasingly rely on data for the decision-making process. Nevertheless, significant challenges arise from poor data quality, leading to incomplete, inconsistent, and redundant information. As dependency on data grows, it becomes essential to develop techniques that integrate information from various sources while dealing with these challenges in the context of product matching. Our work investigates information retrieval and entity resolution approaches to product matching problems related to short and varied product descriptions in commercial data, such as those found in electronic invoices. Our proposed approach, STEPMatch, employs deep learning models alongside cross-lingual learning techniques, enhancing adaptability in contexts with limited or incomplete data, effectively identifying products accurately and consistently.

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Paper citation in several formats:
Alves, A. L. F., Baptista, C., Diniz, J. I. M. S., Mendes, F. I. L. and Cunha, M. (2025). An Approach for Product Record Linkage Using Cross-Lingual Learning and Large Language Models. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8; ISSN 2184-4992, SciTePress, pages 63-74. DOI: 10.5220/0013285000003929

@conference{iceis25,
author={Andre Luiz Firmino Alves and Cláudio Baptista and José Itallo Martins Silva Diniz and Francisco Igor de Lima Mendes and Mateus Cunha},
title={An Approach for Product Record Linkage Using Cross-Lingual Learning and Large Language Models},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={63-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013285000003929},
isbn={978-989-758-749-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - An Approach for Product Record Linkage Using Cross-Lingual Learning and Large Language Models
SN - 978-989-758-749-8
IS - 2184-4992
AU - Alves, A.
AU - Baptista, C.
AU - Diniz, J.
AU - Mendes, F.
AU - Cunha, M.
PY - 2025
SP - 63
EP - 74
DO - 10.5220/0013285000003929
PB - SciTePress

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