Tech Blog Archive

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
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
Machine Translation in Research

Going the Distance — Edit Distance 2

If you change a sentence, should you see the characters or words that changed? Edit Distance is back to help you figure this out.

By: Silvio Picinini
Machine Translation in Research

Going the Distance — Edit Distance 1

What is Edit Distance? How could it be used to measure quality? Find out the basics about this simple metric used for Machine Translation.

By: Silvio Picinini
Computer Vision in Product

eBay Makes Visual Shopping More Intuitive While You Browse

Our newest experience helps you find more products you just can't describe.

By: Jonathan Chard
Machine Learning in Engineering

eBay’s Platform is Powered by AI and Fueled by Customer Input

Artificial intelligence is woven into all aspects of eBay’s platform, inspiring economic empowerment and enhanced experiences.

By: Sanjeev Katariya
Deep Learning in Engineering

Complementary Item Recommendations at eBay Scale

Generating relevant complementary item recommendations that drive conversion at eBay is a challenging problem. In this blog post, we describe some of these challenges, and how we incorporated several different signals, including behavior-based (co-purchase, co-view, co-search, popularity) and content-based (title text), to significantly enrich the number and quality of candidate recommendations. This can produce an improved user shopping experience, which can lead to increased transactions between eBay buyers and sellers, and an increase in the number of items bought, which is good for the eBay marketplace as a whole.

By: Yuri M. Brovman
Deep Learning in Research

Explainable Reasoning over Knowledge Graphs for Recommendation

Incorporating knowledge graphs into recommender systems has attracted increasing attention in recent years. By exploring the interlinks within a knowledge graph, the connectivity between users and items can be discovered as paths, which provide rich and complementary information to user-item interactions. Such connectivity not only reveals the semantics of entities and relations, but also helps to comprehend a user’s interest. However, existing efforts have not fully explored this connectivity to infer user preferences, especially in terms of modeling the sequential dependencies within and holistic semantics of a path. We have developed a new model named Knowledge-aware Path Recurrent Network (KPRN) to exploit knowledge graphs for recommendation.

By: Dingxian Wang, Canran Xu, Hua Yang and Xiaoyuan Wu
Computer Vision in Research

Interactive Visual Search

Interactive visual search with user feedback helps buyers find the perfect item and while enjoying the exploratory journey.

By: M. Hadi Kiapour, Shuai (Kyle) Zheng and Robinson Piramuthu
Computer Vision in Research

Seven Tips for Visual Search at Scale

We present seven tips for visual search at scale, based on our KDD 2017 paper titled "Visual Search at eBay."

By: Fan Yang, M. Hadi Kiapour, Robinson Piramuthu and Qiaosong Wang