Module 5 – Machine Learning Basics
intermediate20 XP

AI Knows What You'll Pick Next! 🔮

How recommendation AI predicts your next favourite song, show, or product

AI Knows What You'll Pick Next! 🔮

You're Totally Predictable (And That's Useful!)

This sounds a bit creepy, but it's true: your tastes and behaviour follow patterns. And AI is EXTREMELY good at spotting those patterns to predict what you'll like.

🎵 How Spotify Discover Weekly Really Works

Every Monday, 400 million Spotify users get a unique 30-song playlist they've never heard — but will probably love.

Here's the actual process:

Step 1: Analyse YOUR listening history ↓ What genres, artists, moods, energy levels do you love? Step 2: Find your "music twin" ↓ Which of 400M users has MOST similar taste to you? Step 3: Borrow from your twin ↓ What do THEY love that you haven't heard yet? Step 4: Check the song itself ↓ Does it match your preferred tempo, key, mood? Step 5: Build your Discover Weekly! 🎵

📺 Netflix: 80% of What You Watch is AI-Recommended

Think about the last show you watched on Netflix. Did you search for it, or did Netflix suggest it?

Studies show 80% of Netflix watching comes from AI recommendations!

Netflix has 8,000+ categories, including ridiculous ones AI invented:

  • "Critically-Acclaimed Emotional Underdog Movies"
  • "Mind-Bending Sci-Fi from the 1980s"
  • "Feel-Good Movies Starring Strong Female Characters"

AI creates categories that match YOUR taste perfectly — not categories that exist in the real world!

🛒 Two Types of Recommendation AI

Collaborative Filtering (the "People Like You" approach)

You like: Minecraft, Roblox, coding tutorials Other users with same taste also like: board game videos, 3D printing → AI suggests board game content to you! (Even though you never searched for it)

Content-Based Filtering (the "Similar Stuff" approach)

You loved: Avatar: The Way of Water Features: Action, sci-fi, stunning visuals, long runtime → AI finds more films with those same features!

Most big platforms combine BOTH types!

💡 Did You Know?

TikTok's "For You Page" algorithm analyses 10+ signals per second while you watch: how long you watched, did you replay, did you share, what time of day, what other videos you watched before... It's incredibly accurate and incredibly addictive! 📱

Quick check

01/2

What percentage of Netflix viewing comes from AI recommendations?