Showing 21 through 40 of 382 results.

How eBay Created a Language Model With Three Billion Item Titles
How eBay’s Notification Platform Used Fault Injection in New Ways
Why and How eBay Pivoted to OpenTelemetry
Increase A/B Testing Power by Combining Experiments
New Buyer Groups Tool Brings Personalized Marketing to eBay Sellers
Multi-Objective Ranking for Promoted Auction Items
Sherlock.io: An Upgraded Machine Learning Monitoring System
eBay's Notification Streaming Platform: How eBay Handles Real-Time Push Notifications at Scale
Multi-Relevance Ranking Model for Similar Item Recommendation
OpenFeature, With Contributions From eBay, Submitted to CNCF's Sandbox Program
eBay’s 3rd University Machine Learning Competition: Predicting Shipping Delivery Dates
Improving Shopping Recommendations for Customers Through eBay’s Relevance Cascade Model
Building a Deep Learning Based Retrieval System for Personalized Recommendations
How eBay Developed an Automatic Testing Solution for Batch Application Upgrades
Creating High-Quality Staging Data with a NoSQL Data Migration System
Expanding the eBay Ads Portfolio with Promoted Listings Express
A Lightweight Distributed Architecture to Handle Thousands of Library Releases at eBay
GraphLoad: A Framework to Load and Update Over Ten-Billion-Vertex Graphs with Performance and Consistency
eBay’s Mavenization Strategy of Legacy Domain Business Libraries
The Staging Dichotomy: Part Two