Recommending for Long-Term Member Satisfaction at Netflix

Recommending for Long-Term Member Satisfaction at Netflix

Recommending for Long-Term Member Satisfaction at Netflix

Original URL: https://netflixtechblog.com/recommending-for-long-term-member-satisfaction-at-netflix-ac15cada49ef

Added Date: September 2, 2024

Memo: This article discusses how Netflix enhances long-term member satisfaction through personalized recommendations. By moving beyond traditional metrics like clicks or CTR, Netflix uses reward engineering to optimize for long-term satisfaction. The process involves defining proxy rewards based on user interactions, predicting delayed feedback, and aligning recommendations with long-term engagement. Challenges include dealing with delayed feedback, the disparity between online and offline metrics, and refining proxy rewards to better align with long-term satisfaction.