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arXiv · 2204.11593

Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application

Isaac Kwan Yin Chung·Minh Tran·Eran Nussinovitch
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Abstract

In this industry talk at ECIR 2022, we illustrate how we approach the main challenges from large scale cross-domain content-based image retrieval using a cascade method and a combination of our visual search and classification capabilities. Specifically, we present a system that is able to handle the scale of the data for e-commerce usage and the cross-domain nature of the query and gallery image pools. We showcase the approach applied in real-world e-commerce snap and search use case and its impact on ranking and latency performance.

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Isaac Kwan Yin Chung, Minh Tran, Eran Nussinovitch. 2022-04-13. Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application. https://arxiv.org/abs/2204.11593

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