Tech Blog

eBay’s magical listing experience uses generative AI to save sellers time and effort.

Su has found innovative new ways to use AI to personalize the eBay experience for sellers and buyers.

eBay’s new AI-powered feature makes it simple for sellers to create beautiful listings that reflect their brand and help grow their business.

The annual contest is back with a fresh challenge for U.S. students.

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

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

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

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

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

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

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

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

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

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.

Why eBay sees responsible AI as a priority that can’t wait.

eBay’s new magical listing tool uses artificial intelligence to extrapolate details about listings from images. Sellers can list items with ease, and buyers can access more information about potential purchases.

Chief AI Officer Nitzan Mekel-Bobrov and Vice President of Seller Experience Xiaodi Zhang shared how AI will make life easier for sellers, buyers and employees.

Mazen shared his perspective on emerging technology trends and how eBay is embracing the disruption, bringing new customer experiences powered by AI to the marketplace.

The Similarity Engine's use cases include item-to-item similarity for text and image modality and user-to-item personalized recommendations based on a user’s historical behavior data.

A new feature generates customer delight by using modern computer vision techniques to drive new search paradigms through visual discovery.

Billions of queries require new, smarter alerting features.

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 formal and interdisciplinary theory of learning and intelligence that combines biology, neuroscience, computer science, engineering and various branches of mathematics to provide a unifying framework, direction and a broader horizon for neural network and machine learning research.

Participating universities will structure listing data to help solve a real-world ecommerce challenge.

This feature enables our sellers to create cleaner listings.

eBay introduces Best Match to personalize buyers’ search feeds.

In recent eBay Tech Blog articles, we presented the Unified AI platform called Krylov and our pythonic tool to interact with the platform, PyKrylov. In this article, we introduce our Natural Language Processing framework built on top of the AI platform.

We challenged more than 100 college students at seven universities to structure listing data using AI and machine learning.