By leveraging deep learning techniques to compare the titles of product listings, we greatly improved the relevance of our recommended items on eBay’s View Item page.

eBay’s notification platform team built a fault-tolerant, resilient system by injecting faults in the application level.

Determining which promoted auction items to display in a merchandising placement is a multi-sided customer challenge that presents opportunities to both surface amazing auction inventory to buyers and help sellers boost visibility on their auction listings.

A case study demonstrates how eBay's Notification Engineering team optimizes a streaming system in a microservice architecture to support high-throughput broadcast notifications.

A step-by-step guide on how to build a state-of-the-art recommender system in an industrial setting.

A look at how our eBay technologists created an automatic testing solution for batch applications.

A new lightweight distributed architecture is proposed and applied on eBay’s release system to support thousands of libraries release work in high efficiency.

GraphLoad is a scale graph loading framework eBay developed and deployed in production. It has been loading and updating a graph with over 15 billion vertices and over 20 billion edges since May 2020.

A brand new methodology to ameliorate the development and release process for eBay site business.

A two-part series on how eBay turned around an impeding staging environment into its biggest asset for developer productivity.

A two-part series on how eBay turned around an impeding staging environment into its biggest asset for developer productivity.

How eBay enabled a real-time, distributed and performant index service for its NuData platform, a large-scale, in-house database platform.

Payments Team将讲述FAS水平扩展方案是如何设计实现的，以达到高容错、低风险和高性能的无缝扩展目标。

The framework achieves great coverage and performance across different incident triaging scenarios, and also outperforms other state-of-the-art root cause analysis methodologies.

​​eBay’s coded coupons tool is one of the newest products available for sellers to drive buyers to come back and purchase more items from their store. The tool allows more flexibility and control in offering discounts to prospective buyers, both on and off our marketplace.

With this new feature, sellers can create their own, custom discount codes that can be shared publicly on ebay.com or privately through their own marketing channels. Sellers can also print their coded coupons to include in shipped packages, helping to drive repeat purchases from their customers. Since the release of coded coupons in April, over one million buyers have made purchases on eBay using coded coupons.

This tool was developed by creating a new user experience stack using eBay’s latest technology stack — Raptor and MarkoJS. Here’s what we learned through the development of the tool’s system architecture and integrations, and how we overcame technical challenges along the way.

Network SIG/PaaS Team将分享基于Istio的eBay应用网关的探索与实践。