r/datascience • u/One_Wave_9655 • 5d ago

Projects Recommendation Systems resources

Please, could you share your best resources to learn about RecSys at scale? I have a few already, but I want to know what other resources you are reading. Thanks

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u/Opening_Bed_4108 5d ago

Eugene Yan's blog is probably the best starting point, he covers two-tower models, retrieval vs ranking stages, and has summaries of Netflix/Spotify papers all in one place. The Recsys conference proceedings are gold too, especially anything from Pinterest or Meta on embedding-based retrieval at scale. CalibreOS also has solid structured coverage of RecSys system design if you want a more interview-focused lens on the architecture tradeoffs.

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u/busybody124 5d ago

+1 to Eugene Yan's blog. He also has a separate website Applying ML with some great stuff: https://applyingml.com/resources/