Paper ID: 2204.11593

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

Isaac Kwan Yin Chung, Minh Tran, Eran Nussinovitch

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.

Submitted: Apr 13, 2022