I recommended a video to 1000 users for the first time. If the click rate of these users is high, the system determines that users like this video very much and recommends it to 10000 users.
If the click-through rate of recommended users remains at a high level this round, the system will expand the video to 30,000 users, 50,000 users and100,000 users again, and the recommended volume and broadcast volume will snowball. Until the video has passed the 24-hour restriction period, the recommendation volume of the new round of recommendations will gradually decline.
Because of this mechanism of expanding recommendation, the author must strive to keep the reading data of all dimensions at a high level if he wants to get more broadcasts. Video will be recommended to a group of users who are most likely to be interested in it, and the playback data generated by these users will play a decisive role in the next recommendation of video.
Basic information
By interpreting the platform recommendation rules, sharing the skills of using background functions, we can provide creators with explosive videos and IP building ideas, and help millions of creators to provide operational capabilities. After the rectification, Watermelon Video will also set up a positive energy video content pool to reach the top of the list of "Promoting Positive Energy and Striving for a New Era".