Like rate refers to the like amount of a video divided by the total play amount of the video. For example, if you have 10 likes and 100 plays, then the praise rate is 10 divided by 100 = 10%.

Tik Tok's artificial intelligence algorithm recommends corresponding content according to users' preferences and needs. Generally speaking, it is to recommend what users like to users. This seems simple, but the big data and intelligent algorithm push contained in it are extremely profound. Of course, what is too deep is not what we need to explore. We just need to know the recommendation standard of Tik Tok algorithm. The recommendation standard of Tik Tok algorithm is to follow five data for evaluation and recommendation. As long as the basic number of these five data is reached, that is, the basic line, Tik Tok's AI algorithm will give this short video a basic traffic recommendation, and then comprehensively judge whether this short video is worthy of the next round of recommendation according to the data obtained from this traffic recommendation. If so, the algorithm will continue to give you traffic allocation and recommendation. If not, it will stop recommending, so this short video is equivalent to hiding in the snow.