Understand recommendation systems and how platforms predict what you'll love
Chapter 1 · Start here
Vectors: How AI Sees Things
Understand how AI converts everything—songs, movies, people—into lists of numbers to find patterns
Chapter 2 · Start here
Similarity: Finding Matches
Learn how AI calculates similarity between items to recommend things you'll probably like
Chapter 3 · Start here
Collaborative Filtering: What Similar Users Liked
Discover how platforms find people like you and recommend what they enjoyed
Chapter 4 · Start here
Content-Based Filtering: Item Features
Understand how platforms analyze what you like and find items with similar characteristics
Chapter 5 · Start here
Cold Start Problem: New Users & Items
Learn why platforms struggle with new users who have no history, and how they solve it
Chapter 6 · Start here
Hybrid Systems: Combining Approaches
Discover how Netflix, Spotify, and TikTok combine multiple techniques for better recommendations