Tech Blog

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.