How does TikTok's recommendation algorithm actually work to keep users engaged?

TikTok’s recommendation algorithm is like having a super-smart friend who knows exactly what you want to watch next.

Imagine you're playing with your favorite toy box, every time you pick a toy, your friend watches and learns what kind of toys you like. On TikTok, when you watch a video, the app notices what you’re watching and starts showing you more videos that are similar, just like how your friend would bring out more toys that match what you're playing with.

Bold key terms: The app uses videos, watching patterns, and likes to guess what you’ll enjoy next.

Think of it like a game of "What’s Next?", every time you watch something, the app gets better at predicting what will keep you happy. If you tap on a video that makes you laugh, it shows you more funny videos. If you keep watching videos about dancing, it shows you even more dance videos.

It's like your friend who always knows which toy to bring out, the more you play, the better they get at making sure you never want to stop!