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eBay’s 3rd University Machine Learning Competition: Predicting Shipping...
For our annual ML competition, we challenged university students to predict how many days a carrier takes to deliver packages.
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OpenFeature, With Contributions From eBay, Submitted to CNCF's Sandbox Program
The new open feature flagging standard enables companies to deliver cloud-native applications more effectively.
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Multi-Relevance Ranking Model for Similar Item Recommendation
Buyers reveal a whole range of behaviors and interests when they browse our pages, so we decided to incorporate these additional purchase intent signals into our machine learning model to improve the...
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eBay's Notification Streaming Platform: How eBay Handles Real-Time Push...
A case study demonstrates how eBay's Notification Engineering team optimizes a streaming system in a microservice architecture to support high-throughput broadcast notifications.
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Sherlock.io: An Upgraded Machine Learning Monitoring System
Billions of queries require new, smarter alerting features.
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Multi-Objective Ranking for Promoted Auction Items
Determining which promoted auction items to display in a merchandising placement is a multi-sided customer challenge that presents opportunities to both surface amazing auction inventory to buyers and...
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New Buyer Groups Tool Brings Personalized Marketing to eBay Sellers
Sellers in the U.S., U.K., Germany, Australia, France, Italy and Spain now have access to Buyer Groups, a new tool which allows them to segment their buyers to drive more repeat business.
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Increase A/B Testing Power by Combining Experiments
How the powerful meta-analysis method called "weighted z-test" can help eBay become more efficient.
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Why and How eBay Pivoted to OpenTelemetry
eBay makes a crucial pivot to OpenTelemetry to better align with industry standards for Observability.
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How eBay’s Notification Platform Used Fault Injection in New Ways
eBay’s notification platform team built a fault-tolerant, resilient system by injecting faults in the application level.
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How eBay Created a Language Model With Three Billion Item Titles
By leveraging deep learning techniques to compare the titles of product listings, we greatly improved the relevance of our recommended items on eBay’s View Item page.
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eBay Announces Winners of 4th Annual Machine Learning Challenge
Using the power of natural language understanding, these two students created fantastic solutions.
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API Evolution Is a Challenge. Could Contract Testing Be the Solution?
Contract testing has grown in popularity in recent years with the widespread adoption of microservice architectures. In this article, we will share our experiences with contract testing at eBay.
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Variable Hub: Easier Data Integration for Risk Decisioning
A new risk data hub for decisioning can significantly boost variable time-to-market, with high performance under billions of query traffic.
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Open-Source Contribution: New Maven Dependency Resolution Algorithm
It’s been effective at speeding up productivity, pushed to eBay, and contributed back to the open source community.
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How eBay Made Its New Accessibility Tool — And Made It Available to All
Several eBay teams worked together to create a plug-in that makes it easy to include accessibility in a design right from the start.
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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.
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How eBay Modernized the Most Important Page on Our Platform
eBay's core page — the View Item page — gets 250 million views per day. Here's how we took on the task of modernizing it.
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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.
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eBay’s Common Automation Solution for Platform Evolution
Here at eBay, we’ve crafted a brand new approach to automate platform evolution for all applications — one that provides a repeatable and reusable infrastructure to streamline evolution.
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