Optimizing Product Matching in E-commerce: A Strategic Perspective on Precision-Recall Trade-Off

被引：0

作者：

Rocha, Miguel ^{[1
]}

Hogheim, Victor ^{[1
]}

Almeida, Miguel ^{[1
]}

Theilmann, Alex ^{[1
]}

Silva, Jose ^{[1
]}

Gambetti, Alessandro ^{[1
]}

Han, Qiwei ^{[1
]}

Kaiser, Maximilian ^{[2
]}

机构：

[1] Nova Sch Business & Econ, Carcavelos, Portugal

[2] Univ Hamburg, Hamburg, Germany

来源：

ADVANCES IN DIGITAL MARKETING AND ECOMMERCE, DMEC 2024 | 2024年

关键词：

Product Matching; Deep Learning; E-Commerce; Precision-Recall Tradeoff;

D O I：

10.1007/978-3-031-62135-2_13

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：127 / 134

页数：8

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