تقرير
Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application
| العنوان: | Scaling Cross-Domain Content-Based Image Retrieval for E-commerce Snap and Search Application |
|---|---|
| المؤلفون: | Chung, Isaac Kwan Yin, Tran, Minh, Nussinovitch, Eran |
| سنة النشر: | 2022 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Information Retrieval, Computer Science - Computer Vision and Pattern Recognition |
| الوصف: | 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. Comment: ECIR 2022 Industry Day |
| نوع الوثيقة: | Working Paper |
| الوصول الحر: | http://arxiv.org/abs/2204.11593Test |
| رقم الانضمام: | edsarx.2204.11593 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |