Netflix: Towards LLM-Native Recommendation

In this technical meetup, we will unpack Netflix’s GenRec: Towards LLM-Native Recommendation at Netflix, a report on an LLM-backed recommendation ranker designed for large-scale personalization. The session examines how Netflix verbalizes member history, item metadata, and request context; post-trains a Netflix-adapted foundation model for ranking; constrains outputs to in-catalog titles; and designs inference around real serving-cost constraints.

GenRec presents a disciplined production pattern: context engineering, catalog-aware scoring, reward-weighted alignment, and prefill-only serving. Netflix reports that GenRec improved on a mature production ranker in both offline evaluation and a large online experiment while using substantially fewer labeled examples and input signals.

Slides for past meetups posted: Github
Recordings posted at: YanAITalk
Feel free to reach out if you want to present at upcoming meetups!

Note: You must have a Zoom account to login (free account is sufficient). Zoom Link will be posted to the event page one day before the meetup.