The Recommendation Engine Explained
The Secret Formula
STEP 1: COLLECT
- What you watch (and for how long)
- What you skip after 2 seconds
- What you like, share, comment
- What you search for
- Your location, time of day, device
- What "similar people" watch
STEP 2: ANALYZE
- "You watch 80% of cooking videos"
- "You skip political content in 3 seconds"
- "People like you love tech tutorials"
- "You watch more at 9 PM"
STEP 3: PREDICT
- "There's an 85% chance you'll watch this"
- Rank all possible videos by probability
- Show the highest-ranked ones first
STEP 4: LEARN
- Did you click? → Update prediction model
- Did you watch full video? → Strong positive signal
- Did you close app? → Maybe showed wrong content
⚠️ The Filter Bubble Problem
What it is: AI shows you more of what you already like, creating an echo chamber.
Example:
- You watch one video about "AI replacing jobs"
- Algorithm shows you 10 more scary AI videos
- You never see "AI creating new jobs" content
- Result: Your view becomes one-sided
How to Break Your Bubble:
1. Actively search for opposing views
2. Use "Not Interested" button on biased content
3. Follow diverse creators
4. Clear your watch history periodically