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13min chapter
Recommender Systems 101: NVIDIA’s Even Oldridge Breaks It Down - Ep. 164
The AI Podcast
Navigating Recommender Systems
This chapter explores the complexities and stages of recommender systems, including retrieval, filtering, ranking, and reordering. It discusses the challenges of data transfer and how user engagement metrics are essential in evaluating effectiveness. The speaker shares their journey from computer vision to developing recommendation algorithms for an online dating platform, reflecting on the societal impact of these systems.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode