How Netflix, Spotify, YouTube & Apple Music Recommend Content | Recommendation Engines Explained

Ever wondered how Netflix, Spotify, and Apple Music always know what to recommend? 🎬🎧 In this video, we take a technical deep dive into recommendation engines — exploring embeddings, contextual bandits, concept drift, and humans-in-the-loop. You’ll learn how tech giants personalize your feed and why their models are so powerful.

What you’ll discover in this episode:
🔎 How recommendation systems work behind the scenes
🎵 The difference between Netflix, Spotify, and Apple Music personalization
🧩 Core concepts: embeddings, contextual bandits, concept drift
👨‍💻 Why humans-in-the-loop still matter in AI-driven recommendations

Playlists ▶️:
🔗 Watch the full playlist, "Introduction to Data Science" ▶️ [   • Introduction to Data Science  ]
🔗 Watch the full playlist, “Attention is All You Need” ▶️ [   • Attention is All You need | Crash Courses  ]
🔗 Watch the full playlist, "Data Science Career Guide" ▶️ [   • Career Guidance in Data Science  ]

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