公司:eBay
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.
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.
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.
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.
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.
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.
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.
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.
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 help sellers boost visibility on their auction listings.
eBay's Notification Streaming Platform: How eBay Handles Real-Time Push Notifications at Scale
A case study demonstrates how eBay's Notification Engineering team optimizes a streaming system in a microservice architecture to support high-throughput broadcast notifications.
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 relevance of our recommended items.
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.
How eBay Developed an Automatic Testing Solution for Batch Application Upgrades
A look at how our eBay technologists created an automatic testing solution for batch applications.
A Lightweight Distributed Architecture to Handle Thousands of Library Releases at eBay
A new lightweight distributed architecture is proposed and applied on eBay’s release system to support thousands of libraries release work in high efficiency.
GraphLoad: A Framework to Load and Update Over Ten-Billion-Vertex Graphs with Performance and Consistency
GraphLoad is a scale 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.
eBay’s Mavenization Strategy of Legacy Domain Business Libraries
A brand new methodology to ameliorate the development and release process for eBay site business.