First, intelligent distribution.
According to your performance in this traffic pool, decide whether to push your work to more people. Whether you are big or not, as long as you have the ability to produce high-quality content, you have the opportunity to compete with big companies.
Second, superimposed recommendation.
Overlay recommendation takes the comprehensive weight of content as the evaluation standard, including four indicators: playback completion rate, likes, comments and forwards. So you can continue to comment and praise the video through your friends. When is it likely to catch fire?
Third, heat weighting.
Only after being tested by a large number of fans and weighted by popularity, will they enter Tik Tok's recommended content pool and accept the baptism of dozens or even millions of large flows.
The criteria for judging its heat include two aspects:
1. Reference order of heat weight: forwarding amount >; Comments > like quantity
Second, choose the new and discard the old by time: unless there are a large number of fans imitating the shooting, the popularity of a popular video will last for at most one week.
Unless a large number of users imitate and follow up, a stable content update mechanism and the ability to continuously output explosions are needed.
You can find that all the videos that broke the news overnight, as well as the videos recommended by Tik Tok, are basically in the million level, and the comprehensive data (broadcast rate, likes, comments and forwards) are all relatively high without exception.