Tech Blog Archive

AI in Features

Introducing Shop the look: eBay curating personalized outfits with AI

Powered by eBay.ai, fashion enthusiasts can now try a more personalized and exciting shopping experience.

By: Raul Romero
AI in Features

eBay's Responsible AI Principles

We've adopted five guiding principles for the responsible use and development of AI.

By: Lauren Wilcox
Developer Productivity in Features

Cutting Through the Noise: Three Things We've Learned About Generative AI and Developer Productivity

Learn how eBay is deploying AI at scale to unlock employee productivity.

By: Senthil Padmanabhan
AI in Features

Podcast: Nitzan Mekel-Bobrov on AI, the Future of Shopping Online, and the Value of Building In-House

Hear from eBay's Chief AI Officer on a recent episode of the Bloomberg Intelligence podcast 'Tech Disruptors.'

By: eBay News Team
Machine Learning in Features

Meet the Winners of the 5th eBay University Machine Learning Challenge

Members of the winning team, NullPointer, will join eBay for a 2024 summer internship.

By: eBay News Team
AI in Features

Lauren Wilcox Named 2023 ACM Distinguished Member

eBay's Lauren Wilcox named 2023 ACM Distinguished Member for contributions to responsible AI and human-centered computing.

By: eBay News Team
Automation in Product

New Social Caption Generator Uses AI to Help Sellers Post More Easily

eBay sellers now have a new tool to make social sharing easier, all powered by AI.

By: eBay News Team
Machine Learning in Product

eBay’s first Chief AI Officer Nitzan Mekel-Bobrov Recognized in Insider’s AI 100 List

Nitzan’s work ensures that eBay can magically and responsibly deliver AI-powered experiences.

By: eBay News Team
Machine Learning in Product

eBay Exec on How Artificial Intelligence Will Bring a ‘Paradigm Shift’ to Ecommerce

Chief AI Officer Nitzan Mekel-Bobrov predicts how AI will transform the online shopping experience.

By: eBay News Team
Machine Learning in Engineering

Evolving Recommendations: A Personalized User-Based Ranking Model

We developed a ranking model to generate personalized recommendations that optimally ranks hundreds of candidate recommendations by considering a user’s shopping experience as well as platform performance objectives.

By: Yingji Pan, Bing Zhou and Yuri M. Brovman