The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform

08/19/2019
by   Jie Li, et al.
0

We present the design and implementation of a visual search system for real time image retrieval on JD.com, the world's third largest and China's largest e-commerce site. We demonstrate that our system can support real time visual search with hundreds of billions of product images at sub-second timescales and handle frequent image updates through distributed hierarchical architecture and efficient indexing methods. We hope that sharing our practice with our real production system will inspire the middleware community's interest and appreciation for building practical large scale systems for emerging applications, such as ecommerce visual search.

READ FULL TEXT

Authors

page 3

page 4

page 6

04/13/2022

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

In this industry talk at ECIR 2022, we illustrate how we approach the ma...
03/07/2017

Deep Learning based Large Scale Visual Recommendation and Search for E-Commerce

In this paper, we present a unified end-to-end approach to build a large...
09/29/2020

SIR: Similar Image Retrieval for Product Search in E-Commerce

We present a similar image retrieval (SIR) platform that is used to quic...
05/28/2015

Visual Search at Pinterest

We demonstrate that, with the availability of distributed computation pl...
07/01/2021

SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search

Graph convolution networks (GCN), which recently becomes new state-of-th...
10/14/2019

Real-Time Visual Navigation in Huge Image Sets Using Similarity Graphs

Nowadays stock photo agencies often have millions of images. Non-stop vi...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.