eBay Tech
@ebaytech
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News and updates from eBay's technology teams. For customer service: @AskeBay
San Jose, CA
Joined September 2010
GraphLoad is providing a solution to load different source data layouts and graph schemas.
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Find out how eBay’s notification platform team built a fault-tolerant, resilient system.
innovation.ebayinc.com
eBay’s notification platform team built a fault-tolerant, resilient system by injecting faults in the application level.
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Our recommendation model is helping buyers find the products that they love.
innovation.ebayinc.com
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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Learn how we investigate risk incidents, analyze risk trends, design risk policies and more in our latest tech blog.
innovation.ebayinc.com
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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Learn about the approach we took to modernize our computing architecture around edge computing and distributed services.
siliconangle.com
Moving to the supercloud means rethinking data management - SiliconANGLE
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Our VP of Seller Experience shares her predictions for how ecommerce capabilities will evolve this year.
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Our Coded Coupons tool gives sellers flexibility and control over how they offer discounts to customers.
innovation.ebayinc.com
This tool was developed by using a dual-write system — including Oracle and MongoDB.
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Next week, eBay’s Principal Architect @justinabrahms will join a discussion with @chainguard_dev about what makes SBOMs high quality.
crowdcast.io
Register now for Software Supply Chain Security Leadership Series: Measuring SBOM Quality on crowdcast, scheduled to go live on January 18, 2023, 12:00 PM EST.
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We challenged students across the U.S. to use ML to build a model that can accurately extract and label the named entities (#NER) in the dataset of item titles on eBay. Congrats to our winners, Rupashi Sangal and Sanjayan Pradeep Kumar Sreekala! 🎉 https://t.co/T5UI5sntKv
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Our newly launched recommendation model is helping buyers find the products that they love. https://t.co/MVBTE9KlMH
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Building stream processing systems on top of a microservices architecture can lead to great benefits.
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Our #opensource Swift package virtually eliminates flaky automation tests, improving developer testing.
innovation.ebayinc.com
eBay’s open source Swift package provides powerful resilience against flaky test steps.
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Our data migration pipeline is helping us copy complex data from production to test all possible scenarios.
innovation.ebayinc.com
At eBay, we’ve focused on improving our staging environment to increase our software delivery speed, which ultimately allows us to launch features faster to our customers. Over the last several...
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With this integration, @Snapchat users on Android and iOS can easily share eBay listings with their friends. https://t.co/MkI2qyvtEP
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We’re helping shoppers get connected with more relevant recommendations through our relevance cascade model.
innovation.ebayinc.com
Under the new machine learning model, buyers are recommended items that are more aligned to their shopping interests on eBay.
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Find out how eBay’s notification platform team built a fault-tolerant, resilient system. https://t.co/cLpWtbaJED
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OpenFeature is allowing us to build on a common #opensource shell while integrating our internal tools.
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