Multi-Objective Ranking for Promoted Auction ItemsDetermining which promoted auction items to display in a merchandising placement is a multi-sided customer challenge that presents…Sep 8, 2022Sep 8, 2022
Multi-Relevance Ranking Model for Similar Item RecommendationBuyers reveal a whole range of behaviors and interests when they browse our pages, so we decided to incorporate these additional purchase…Jun 14, 2022Jun 14, 2022
OpenFeature, With Contributions From eBay, Submitted to CNCF’s Sandbox ProgramThe new open feature flagging standard enables companies to deliver cloud-native applications more effectively.May 24, 2022May 24, 2022
Published ineBayTechImproving Shopping Recommendations for Customers Through eBay’s Relevance Cascade ModelUnder the new machine learning model, buyers are recommended items that are more aligned to their shopping interests on eBay.Apr 8, 2022Apr 8, 2022
Published ineBayTechHow eBay Developed an Automatic Testing Solution for Batch Application UpgradesBy: Paul Zhang and Tao JinFeb 11, 2022Feb 11, 2022
Published ineBayTechExpanding the eBay Ads Portfolio with Promoted Listings ExpressBy: Courtney Mayeda and Brendan ClearyFeb 3, 2022Feb 3, 2022
Published ineBayTechA Lightweight Distributed Architecture to Handle Thousands of Library Releases at eBayBy: Tao Jin and Paul ZhangJan 19, 2022Jan 19, 2022
Published ineBayTechGraphLoad: A Framework to Load and Update Over Ten-Billion-Vertex Graphs with Performance and…GraphLoad is a scalable graph loading framework eBay developed and deployed in production. It has been loading and updating a graph with…Dec 17, 2021Dec 17, 2021
eBay’s Mavenization Strategy of Legacy Domain Business LibrariesA brand new methodology to ameliorate the development and release process for eBay site businessDec 14, 2021Dec 14, 2021
Published ineBayTecheBay’s Global Secondary IndexesHow eBay enabled a real-time, distributed and performant index service for its NuData platform, a large-scale, in-house database platformNov 30, 2021Nov 30, 2021
