@inproceedings{c255d62ee50d4a069dcebe28aa7d0241,
title = "Optimizing product matching in e-commerce: A strategic perspective on precision-recall trade-off",
abstract = "This paper explores product matching and its vital role in e-commerce to match products across different platforms. We propose a multi-stage, deep learning-based system and evaluate its performance based on the precision-recall trade-off. Our research aimed to determine the most effective strategies for e-commerce platforms to accurately align product listings, a critical operation for maintaining competitive marketplaces.",
keywords = "Deep Learning, E-Commerce, Precision-Recall Tradeoff, Product Matching",
author = "Miguel Rocha and Victor H{\o}gheim and Miguel Almeida and Alex Theilmann and Jos{\'e} Silva and Alessandro Gambetti and Qiwei Han and Maximilian Kaiser",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; 5th International Conference on Digital Marketing and eCommerce Conference, DMEC 2024 ; Conference date: 26-06-2024 Through 28-06-2024",
year = "2024",
doi = "10.1007/978-3-031-62135-2_13",
language = "English",
isbn = "9783031621345",
series = "Springer Proceedings in Business and Economics",
publisher = "Springer Nature",
pages = "127--134",
editor = "Mart{\'i}nez-L{\'o}pez, {Francisco J.} and Martinez, {Luis F.} and Philipp Br{\"u}ggemann",
booktitle = "Advances in Digital Marketing and eCommerce - 5th International Conference, 2024",
address = "Netherlands",
}