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.