Tech Blog Archive

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
Security in Features

eBay’s Commitment to Responsible AI: Q&A With Dr. Anna Zeiter, Chief Privacy Officer, Associate General Counsel for Privacy, Data & AI

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

By: Dr. Anna Zeiter
User Experience in Features

‘Magical’ Listing Tool Harnesses the Power of AI to Make Selling on eBay Faster, Easier, and More Accurate

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.

By: eBay News Team
User Experience in Engineering

eBay Execs Talk Generative AI and Computer Vision at VentureBeat Transform Conference

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.

By: Dan Nosowitz
Machine Learning in Engineering

eBay Chief Technology Officer Mazen Rawashdeh Talks AI, Embracing Tech Disruption on Bloomberg Podcast

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.

By: Dan Nosowitz
Machine Learning in Engineering

eBay’s Blazingly Fast Billion-Scale Vector Similarity Engine

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.

By: Santosh Shahane, Kui Yang, Leonard Dahlmann, Amarendra Belineni, Yan Sun, Shrivatsan Navalpakkam Rajagopalan and Pavel Petrushkov
Machine Learning in Engineering

How eBay's New Search Feature Was Inspired By Window Shopping

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

By: Senthilkumar Gopal, Shubhangi Tandon, Christopher Miller, Deepika Srinivasan, Rui Kong, Selcuk Kopru and Srinivas Bhagavathula
Machine Learning in Engineering

Sherlock.io: An Upgraded Machine Learning Monitoring System

Billions of queries require new, smarter alerting features.

By: Huai Jiang
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
Deep Learning in Engineering

Building a Deep Learning Based Retrieval System for Personalized Recommendations

A step-by-step guide on how to build a state-of-the-art recommender system in an industrial setting.

By: Yuri M. Brovman
Machine Learning in Research

Mathesis: Elements of Learning and Intelligence

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.

By: John (Ioannis) A. Drakopoulos, Principal Applied Researcher
Machine Learning in Research

Building a Product Catalog: eBay's 2nd Annual University Machine Learning Competition

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

By: Senthil Padmanabhan
Android in Product

eBay’s Image Clean-Up Feature Brings the Power of Image Processing Algorithms to Android

This feature enables our sellers to create cleaner listings.

By: Dzmitry Lebedzeu, Software Engineer
Search Science in Product

eBay Makes Search More Efficient Through Personalization

eBay introduces Best Match to personalize buyers’ search feeds.

By: Shreya Raval
Platforms and Frameworks in Engineering

Streamlining Language Technology from Idea to Deployment

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.

By: Daniel Stein, Gregor Leusch, Praseeda Sathaye and Selcuk Kopru
Machine Learning in Product

Building a Product Catalog: What we Learned from our University Machine Learning Competition

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

By: Senthil Padmanabhan
Computer Vision in Research

A Human-centric Approach for Evaluating Visual Search Models

Part of our mission within Core AI at eBay is to develop computer vision models that will power innovative and compelling customer experiences. But how can we compare several visual search models and say which of them works better? This article will describe a method that is tackling this problem directly from the eyes of the users.

By: Michal Romi, Michael Ebin and Chantal Acacio
Machine Learning in Engineering

PyKrylov: Accelerating Machine Learning Research at eBay

A recent eBay Tech Blog article1 presented the Unified AI platform called Krylov. In this article, we show how Krylov users interact with the platform to build and manage powerful workflows in a pythonic and efficient way.

By: Selcuk Kopru and Jingjing Jiang
Machine Learning in Engineering

eBay’s Transformation to a Modern AI Platform

How the AI transformation at eBay was powered by a modern AI platform with a unified and open approach.

By: Sanjeev Katariya and Ashok Ramani
Service Architecture in Research

eBay’s New Approach to Managing a Vast Service Architecture

Learn how eBay's architecture knowledge graph was developed; the benefits eBay has received from it; and the use cases we see now and in the future for this approach.

By: Hanzhang Wang, Chirag Shah and Sanjeev Katariya
Agile in Research

Towards Agile AI

In this article, we propose a set of better practices, designed by and for eBay ML scientists, for facilitating weaving ML modeling into the cyclical Agile process flow.

By: Jean-David Ruvini
Machine Learning in Research

Building a Product Catalog: eBay's University Machine Learning Competition

Trade has played a critical role in the history of humanity and yet, data from ecommerce, the modern form of trading, has received limited attention from academia. We at eBay want to change that.

By: Senthil Padmanabhan
Performance Engineering in Engineering

eBay's Hyperscale Platforms

In the era of artificial intelligence, machine learning, and cloud technology, data is growing exponentially. eBay data continues to grow, serving more than 182 million buyers and $13.4 billion of transactions completed on mobile devices. Understanding how to manage data is a key to success. System hardware platforms must be designed for the data.

By: Lam Dong
Machine Translation in Research

Going the Distance — Edit Distance 3

How do you normalize Edit Distance? Some simple ideas to get useful numbers about the changes in your text.

By: Silvio Picinini