Recommendation Systems - How Netflix, Spotify, and TikTok Know What You Want

Public lesson preview

Uncover the algorithms behind personalised recommendations and why your feed feels like it reads your mind.

Learning objectives

By the end of this lesson, you will understand:

• ✓Why Recommendations Matter
• ✓Collaborative Filtering - "People Like You Also Liked..."
• ✓Content-Based Filtering - Matching Features to Preferences
• ✓Hybrid Approaches - The Best of Both Worlds
• ✓The Cold-Start Problem

Lesson outline

1. Why Recommendations Matter
2. Collaborative Filtering - "People Like You Also Liked..."
3. Content-Based Filtering - Matching Features to Preferences
4. Hybrid Approaches - The Best of Both Worlds
5. The Cold-Start Problem
6. How TikTok's Algorithm Works
7. Filter Bubbles and Echo Chambers
8. Key Takeaways