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Monday, May 20 • 11:50am - 12:10pm
Quasar: A High-Performance Scoring and Ranking Library

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Quasar is a part of LinkedIn's machine learning platform, focusing on two aspects: feature transformation (including scoring) and ranking. It serves many LinkedIn products which include feed, job recommendation, notification recommendation, people-you-may-know, search, etc. It is one of the leading Java-based, in-production, Internet-scale machine learning ranking libraries in industry. In this talk, we will provide an overview of Quasar and highlight the technical challenges and solutions when we built Quasar, as well as present the way of thinking about ranking.


Andris Birkmanis

Andris Birkmanis is passionate about technology and knowledge, from biology to economics, from 3D graphics to machine learning. His journey started with hacking 8-bit computers, continued with becoming a professional software developer, and led him to building tools and platforms... Read More →

Fei Chen

Fei Chen is a Senior Engineering Manager at LinkedIn Data Organization. She leads a machine learning engineering team to standardize job and location-related LinkedIn data. Before that, she led the ranking infrastructure team to build Quasar, the ubiquitous scoring and ranking at... Read More →

Monday May 20, 2019 11:50am - 12:10pm PDT
Winchester Room