Artificial Intelligence
How do recommendation algorithms work?
Recommendation algorithms work by learning your preferences from your behavior — what you watch, like, or buy — and finding patterns shared with similar users or items, then suggesting things you're likely to want next.
See it in motion.
Watch a 2-minute animated lesson that shows exactly how recommendation algorithms works.
Step by step
- 1They track your interactions (clicks, views, purchases, time spent).
- 2'Collaborative filtering' suggests what similar users liked.
- 3'Content-based' filtering suggests items similar to ones you liked.
- 4Most big platforms blend both, powered by machine learning.
Frequently asked questions
- How does YouTube or Netflix recommend things?
- By learning your behavior and matching it to patterns from similar users and similar content, then ranking suggestions.
- What is collaborative filtering?
- Recommending things that people with similar tastes to you enjoyed.
- Why do recommendations sometimes feel too accurate?
- They draw on huge amounts of behavioral data and find subtle patterns you may not notice yourself.