Tech Blog Archive

Testing in Engineering

Increase A/B Testing Power by Combining Experiments

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

By: Zezhong Zhang
Advertising in Engineering

New Buyer Groups Tool Brings Personalized Marketing to eBay Sellers

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.

By: Parin Jogani and David Bernstein
Advertising in Engineering

Multi-Objective Ranking for Promoted Auction Items

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.

By: Ishaan Arora, Chen Xue, Jesse Lute and Dan Schonfeld
Machine Learning in Engineering

Sherlock.io: An Upgraded Machine Learning Monitoring System

Billions of queries require new, smarter alerting features.

By: Huai Jiang
Microservices in Engineering

eBay's Notification Streaming Platform: How eBay Handles Real-Time Push Notifications at Scale

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

By: Xiaoye Wang
Advertising in Engineering

Multi-Relevance Ranking Model for Similar Item Recommendation

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.

By: Chen Xue, Rachel Vishnepolsky and Zhen Ge
Developer Tools in Engineering

OpenFeature, With Contributions From eBay, Submitted to CNCF's Sandbox Program

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

By: Justin Abrahms, Principal Architect, Chair of eBay's Open Source Program
Competitions in Engineering

eBay’s 3rd University Machine Learning Competition: Predicting Shipping Delivery Dates

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

By: Uwe Mayer, Senior Applied Researcher
Advertising in Engineering

Improving Shopping Recommendations for Customers Through eBay’s Relevance Cascade Model

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

By: Chen Xue, Applied Researcher