How does the TikTok algorithm work?

07 Tem 07:56

TikTok's algorithm doesn't actually work on a very simple logic; there's a serious data processing process behind it. I know watch time is the most important factor because even I end up watching a 2-minute comedy clip instead of a 10-minute tutorial video all of a sudden. But it's not just the duration—even watching 75% of a video before closing it sends an "interested" signal to the algorithm. Likes, comments, and shares matter too, but the real kicker is the first 3 seconds after someone starts watching. If the viewer doesn’t swipe away immediately, the algorithm thinks, "This has potential to keep them engaged." I’ve also experienced this personalized recommendation system firsthand: I spent a week watching only JavaScript debugging videos, and afterward, my recommendations instantly showed Node.js debug tools and ES6+ tips. So the algorithm develops a sense of "expertise" based on repeated consumption of content on a specific topic and narrows down its suggestions accordingly. If you want to dive deep into a certain topic, don’t just watch—like and comment too, so the system registers it as "serious interest."