Part 9 of 45 in AI Foundations: From Curious to Confident
How It Knows What You Like
AI remembers what you watch and suggests new shows you'll enjoy. A plain-language explainer, part of our Learn AI path.
After Leo watched three space movies, his screen suggested 'Star Quest' and 'Galaxy Friends'. The app remembered what he liked and found more of it — that's a recommendation, AI guessing what you'll enjoy next.
The key ideas
- AI remembers what you watch or like.
- It finds new things similar to your favourites.
- Recommendations help you discover shows, songs and games.
Why it matters
Recommendations is one small piece of a much bigger picture. Once you can spot it in the world around you, the rest of Artificial Intelligence starts to make far more sense — each idea builds on the last, from everyday examples up to how the technology actually works under the hood.
**AI Learning** turns ideas like this into a full learning path: illustrated guides, quick cheat sheets, and around 10,000 practice questions and answers that scale from beginner-friendly to interview-grade — all completely offline, with no account and nothing leaving your device.
Free · Works offline · Learn AI at your own level.
Frequently asked questions
More in Learn AI & Data Science
- Coding Interview Strategy: A Framework for Solving Problems Under PressureKnowing algorithms isn't enough — you have to deploy them under pressure. Here's a repeatable framework for solving unseen problems and a study plan that builds durable skill.
- P vs NP and Complexity Classes: What 'Hard' Really Means (Intuition, No Proofs)Why do some problems have fast algorithms and others resist every attempt? P vs NP is the deepest open question in computer science — here's the intuition, minus the proofs.
- Union-Find (Disjoint Set Union): Near-Constant Connectivity with Two OptimizationsUnion-Find answers 'are these two things connected?' and 'connect them' in almost O(1) — thanks to two beautifully simple optimizations that make the trees nearly flat.