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Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application
April 13, 2022 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Isaac Kwan Yin Chung, Minh Tran, Eran Nussinovitch
arXiv ID
2204.11593
Category
cs.IR: Information Retrieval
Cross-listed
cs.CV
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
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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