Tech Blog Archive

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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
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