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 relevance of our recommended items. — By: Chen Xue, Rachel Vishnepolsky, Zhen Ge Introduction Promoted Listings Standard (PLS) helps sellers’ items stand out among billions of listings on eBay. eBay offers several ways to surface PLS listings. One way is placing those items on the search result page at a higher rank, with a “sponsored” badge; another…

The new open feature flagging standard enables companies to deliver cloud-native applications more effectively. — By: Justin Abrahms eBay is committed to open source software, and as part of that commitment is pleased to join other industry leaders in submitting OpenFeature to the Cloud Native Computing Foundation’s sandbox program. OpenFeature allows application developers to add feature flags into their code without being tied to any…

Under the new machine learning model, buyers are recommended items that are more aligned to their shopping interests on eBay. — By: Chen Xue When shoppers come to eBay, our goal is to help them easily find a product they’ll love. Over the past year, our teams have focused on how we can improve item recommendations for buyers that are more relevant and aligned to their shopping interests. Under our previous…

By: Paul Zhang and Tao Jin This article introduces a new testing methodology for 500+ batch applications at eBay. These batch applications contain 10,000+ jobs running everyday to handle offline eBay business, for example, the monthly invoice jobs are responsible to record all transactions on a customer’s primary account for…

By: Courtney Mayeda and Brendan Cleary Creating new opportunities for our sellers to grow their businesses further is a driving force of everything we do at eBay Ads. We continue to invest heavily in new technology to make it easier for sellers of all sizes to run their business online…

By: Tao Jin and Paul Zhang On eBay, there are lots of scenarios that require a distributed system. A typical use case is when a large amount of libraries are release. There are more than 3,000 legacy libraries still built by the old build system based on Ant, which is…

GraphLoad is a scalable graph loading framework eBay developed and deployed in production. It has been loading and updating a graph with over 15 billion vertices and over 20 billion edges since May 2020. — By: Tom Schweiger, Hieu Nguyen, Jun Li, Leo Hu and Sakilaa Gopalsamy NuGraph is a graph database platform developed at eBay that is cloud-native, scalable and performant. It is built upon the open-source graph database JanusGraph, with FoundationDB as the backend that stores graph elements and indexes. This article presents…

A brand new methodology to ameliorate the development and release process for eBay site business — By: Paul Zhang and Tao Jin This topic introduces the methodology to mavenize more than 3,000 business libraries built by a legacy system. Those libraries together build up a huge dependency graph with sub-belonging dependencies. …

How eBay enabled a real-time, distributed and performant index service for its NuData platform, a large-scale, in-house database platform — By: Jung-Sang Ahn and Dongho Kim eBay’s NuData [1] database platform is built from the ground up to be a cloud-native, distributed, highly scalable and performant. We not only adopted state-of-the-art technologies to overcome the technical challenges that come with building a database platform at this scale, but we also…