Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application
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Abstract (arXiv)
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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References · 3
- 2021Visual Search at Alibabacited by 27
- 2017Deep Learning based Large Scale Visual Recommendation and Search for E-Commercecited by 16
- 2020SIR: Similar Image Retrieval for Product Search in E-Commercecited by 2
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