EPISODE · Dec 23, 2024 · 11 MIN
Reward engineering for better content recommendation [Netflix]
from Snacks Weekly on Data Science · host Pan Wu
In this episode, we will explore Netflix’s approach to content recommendation using contextual bandits and reward engineering. We will also discuss the important role of proxy reward functions and how Netflix leverages offline machine learning models to predict delayed customer feedback, enabling them to continuously improve their recommendation engine and deliver a more personalized viewing experience. For more details, you can refer to their published tech blog, linked here for your reference: https://netflixtechblog.com/recommending-for-long-term-member-satisfaction-at-netflix-ac15cada49ef
What this episode covers
In this episode, we will explore Netflix’s approach to content recommendation using contextual bandits and reward engineering. We will also discuss the important role of proxy reward functions and how Netflix leverages offline machine learning models to predict delayed customer feedback, enabling them to continuously improve their recommendation engine and deliver a more personalized viewing experience. For more details, you can refer to their published tech blog, linked here for your reference: https://netflixtechblog.com/recommending-for-long-term-member-satisfaction-at-netflix-ac15cada49ef
NOW PLAYING
Reward engineering for better content recommendation [Netflix]
No transcript for this episode yet
Similar Episodes
Apr 22, 2025 ·32m
Feb 27, 2025 ·0m
Sep 20, 2024 ·57m
Aug 7, 2024 ·16m