Tiktok calculation
1. Machine audit + manual double audit
when a video is initially uploaded, the platform will give you an initial flow. If after the initial flow, according to the like rate, comment rate and forwarding rate, judge whether the video is popular or not. If the first round of evaluation is popular, then it will carry out the second transmission
when you get the optimal feedback for the second time, you will get more traffic
on the contrary, in the first wave or the nth wave, if the response is not good, it will no longer be recommended. Without the recommendation of the platform, the probability of your video wanting to fire is very small, because there is no more traffic to see you. The first step of video fire is to be seen by others, the first step is to die, and the follow-up can only rely on friends' praise
the logic behind this algorithm: intelligent distribution, overlay recommendation, and heat weighting
2, overlay recommendation
the so-called overlay recommendation refers to the new video will intelligently distribute about 100vv of playback, if the forwarding amount reaches 10 (for example), the algorithm will judge as popular content, automatically weight the content, and overlay recommendation will give you 1000vv; The forwarding amount is 100 (for example), and the algorithm continues to stack up to 10000 vv; The tiktok is 1000 (for example), and then it is recommended to 10wvv, and what's more, the number of players who play the night is also more than the number of players. p>
overlay recommendation is of course based on the comprehensive weight of the content as the evaluation standard. The key indicators of the comprehensive weight are: the completion rate, the amount of likes, the amount of comments, and the amount of forwarding, and the weight of each step is different. When it reaches a certain level, the mechanism of combining big data algorithm and manual operation is adopted P>
3, tiktok
tiktok nearly 100 exploding flare, found all the night exploding video, and the video of the recommended voice board, the volume of the play is more than one million, and the comprehensive data (broadcast rate, point praise, comment quantity, forwarding volume) are all good except. p>
extended data:
1: improve your own data, the more complete the better. Including avatars, nicknames, mobile phones, microblogs, wechat, headlines, etc., the more detailed the better. Because it is machine and manual double audit, once the machine audit, will carry out a large number of inferior elimination
2. The video should be bright. The video is only 15 seconds. In this short 15 seconds, there is no highlight and no turning point. You will not have any interaction with you, and there is also a shielding function. Once the user blocks you, this is a very serious thing, because the user will not be recommended for your short video in the future
's tiktok's profit model is: the gift of fans can be used to get the gift to get the sound waves, and the sound waves can be directly caged for RMB. The sound waves on tiktok are 6 yuan RMB from 42 tones. p>
it is also a very popular way to realize cash flow by selling goods. Tiktok tiktok, what is the reason for everyone's rather baffling voice? On the tiktok, we often see tiktok, operation teaching, skills training, teaching and so on. P>

tiktok is drained to WeChat, which sells courses and achieves liquidity. The video can be used for 10 or more real name authentication, and tiktok can be applied to display windows. P>
tiktok:
tiktok's profit model is introced as follows:
if you have your own shop and merchandise, you can link Taobao shop in the vibrato shopping window, and drain the accurate fans to the shop to buy procts, so as to achieve cash. If you don't have your own shops and goods, you can also do Taobao customer mode to help businesses sell procts to earn commission P>
if it is versatile, or has high tiktok value and can continue to output in the vertical field, it brings fans and can quickly become a red voice. It can be realized through several forms such as carrying goods, advertising, live broadcasting, offline activities, signing contracts, etc. This mode is suitable for companies or enterprises
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① management of network foundation and Linux system
(2) optimization and high availability skills (3) virtualization and cloud platform technology (4) development and operationBeijing University Qingniao you Zhongbo Software College wish you success in your study! Hope to adopt strong>

big data classroom of Beijing University Qingniao Zhongbo Software College
His name is Dai Jianye, a professor of central China Normal University Dai Jianye, male, was born in Macheng, Huanggang City, Hubei Province in 1956. At present, he is a professor and doctoral supervisor of the ancient literature teaching and research section of the school of Arts of central China Normal University
Dai Jianye is also a columnist. In the past three years, he has written more than 400 cultural essays and social comments. He has been rated as one of the "top ten blogs (cultural and historical category) in 2012" by Netease, and listed as a "hot columnist" by "love thinking" net. He has published many essays such as "if someone deceives me", "everything is possible" and so onextended materials:
recently, people's Daily reported a 62 year old "wanghong" Professor and quoted his "famous saying" in the article. The TikTok Professor, Dai Jianye, is a professor and director of literature department in Huazhong Normal University. He has nearly a million fans on the tiktok. He has a short video of shaking, and has won over 30 million times a week, about 1000000 times. Tiktok's voice is mostly intercepted from what he chose seven or eight years ago, p>
said. He thought he was not good at Putonghua, nor did he pursue any intonation effect. So in class, he chose to chat and explain poetry knowledge to students. P>
's tiktok has also been praised by netizens. Many netizens believe that Professor Dai pays attention to recreate the scene of ancient poetry, and does not pretend to be in a position, but is not down to earth. p>
and, aiming at the specific scene of counterfeiting stars and celebrities, strengthen communication and cooperation with stars and their teams, and maintain daily communication. The first time to find malicious behavior, the first time to come up with corresponding solutions to protect the reputation and economic interests of stars and fans strong>
