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End-to-end multi-modal product matching in fashion e-commerce
March 19, 2024, 4:49 a.m. | S\'andor T\'oth, Stephen Wilson, Alexia Tsoukara, Enric Moreu, Anton Masalovich, Lars Roemheld
cs.CV updates on arXiv.org arxiv.org
Abstract: Product matching, the task of identifying different representations of the same product for better discoverability, curation, and pricing, is a key capability for online marketplace and e-commerce companies. We present a robust multi-modal product matching system in an industry setting, where large datasets, data distribution shifts and unseen domains pose challenges. We compare different approaches and conclude that a relatively straightforward projection of pretrained image and text encoders, trained through contrastive learning, yields state-of-the-art results, …
abstract arxiv capability commerce companies cs.cv curation data datasets distribution e-commerce fashion industry key large datasets marketplace modal multi-modal pricing product robust type
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