Tech Blog

How the powerful meta-analysis method called "weighted z-test" can help eBay become more efficient.

Sellers in the U.S., U.K., Germany, Australia, France, Italy and Spain now have access to Buyer Groups, a new tool which allows them to segment their buyers to drive more repeat business.

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.

Billions of queries require new, smarter alerting features.

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

Buyers reveal a whole range of behaviors and interests when they browse our pages, so we decided to incorporate these additional purchase intent signals into our machine learning model to improve the relevance of our recommended items.

The new open feature flagging standard enables companies to deliver cloud-native applications more effectively.

For our annual ML competition, we challenged university students to predict how many days a carrier takes to deliver packages.

Under the new machine learning model, buyers are recommended items that are more aligned to their shopping interests on eBay.

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.

At eBay, we’ve focused on improving our staging environment to increase our software delivery speed, which ultimately allows us to launch features faster to our customers. Over the last several months, we’ve raised the quality of our staging data by establishing a dedicated and scalable data migration system.

Sellers can now promote their auction listings on eBay.

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 scalable 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