How AI Recommendation Systems Work
Recommendations look like magic, but they follow patterns in what people watch and buy.
Two main ideas
Most systems combine two approaches.
- Similar items: you liked this, so you may like that.
- Similar people: users like you enjoyed this.
What data they use
Views, ratings, searches, time spent and purchases.
Side effects
Systems can narrow what you see and amplify popular content.
Take control
Shape your feed.
- Rate and hide items.
- Clear history.
- Explore outside suggestions.
Key takeaway: Recommendations follow your past behavior, so adjust your history to change them.
