PinnedPublished inNetflix TechBlogFM-Intent: Predicting User Session Intent with Hierarchical Multi-Task Learning Authors: Sejoon Oh, Moumita Bhattacharya, Yesu Feng, Sudarshan Lamkhede, Ko-Jen Hsiao, and Justin BasilicoMay 21A response icon4May 21A response icon4
PinnedPublished inNetflix TechBlogBehind the Scenes: Building a Robust Ads Event Processing Pipeline Kinesh SatiyaMay 9A response icon9May 9A response icon9
PinnedPublished inNetflix TechBlogFoundation Model for Personalized Recommendation By Ko-Jen Hsiao, Yesu Feng and Sudarshan LamkhedeMar 21A response icon31Mar 21A response icon31
PinnedPublished inNetflix TechBlogTitle Launch Observability at Netflix Scale Part 3: System Strategies and ArchitectureMar 5A response icon6Mar 5A response icon6
PinnedPublished inNetflix TechBlogIntroducing Impressions at Netflix Part 1: Creating the Source of Truth for ImpressionsFeb 15A response icon14Feb 15A response icon14
Published inNetflix TechBlogMeasuring Dialogue Intelligibility for Netflix Content Enhancing Member Experience Through Strategic CollaborationMay 2A response icon2May 2A response icon2
Published inNetflix TechBlogHow Netflix Accurately Attributes eBPF Flow Logs By: Cheng Xie, Bryan Shultz, and Christine XuApr 8A response icon12Apr 8A response icon12
Published inNetflix TechBlogGlobalizing Productions with Netflix’s Media Production Suite Jesse Korosi, Thijs van de Kamp, Mayra Vega, Laura Futuro, Anton MargolineMar 31A response icon7Mar 31A response icon7
Published inNetflix TechBlogHDR10+ Now Streaming on Netflix Roger Quero, Liwei Guo, Jeff Watts, Joseph McCormick, Agata Opalach, Anush MoorthyMar 24A response icon11Mar 24A response icon11
Published inNetflix TechBlogTitle Launch Observability at Netflix Scale Part 2: Navigating AmbiguityJan 7A response icon6Jan 7A response icon6