What does tiktok go to centralization?

1. What is the algorithm for tiktok? TikTok Technology Co., Ltd. Tianjin

simply put forward: the algorithm of shaking is actually a funnel mechanism, which is basically consistent with the principle of recommendation algorithm of the headline's de centralization. Tiktok / BR > it has three tiktok steps:
first, cold start flow cell exposure
assume that 1 million people are uploading short videos every day on the jitter, and the jitter will randomly assign each cold video to a cold start flow pool with average exposure. For example, after each short video is released through audit, there are an average of 1000 exposures
Second, data selection
tiktok will analyze 1000 points of exposure from 1 million short videos, analyze the data of points, attention, comment, forwarding and so on, and pick out videos with more than 10% indicators, and then distribute 100 thousand times on average. Then go to see which are like, follow, forward and comment more than 10%, and roll into the next round of larger flow pool for recommendation
Third, the boutique recommendation pool
through round after round of verification, short videos with extremely high like rate, playback completion rate, comment interaction rate and other indicators are screened out to have the opportunity to enter the boutique recommendation pool. When users open the pool, they can see videos with tens of millions of likes
all the dry goods and skills shared next are closely around the core point: by increasing the number of likes, attention, comments, forwarding rate and other indicators, we can get more accurate official recommendations and win more exposure.

2. Tiktok is a de centralized algorithm platform, which means that any account has the opportunity to have millions of fans and even millions of fans. Even if we don't have any traffic, as long as our content is popular, more and more people will pay attention to it. So if you do the content in the right way, you can earn the first barrel of gold in the tiktok. If you don't know anything, please ask me in private

3. 1-5000-100: that is to say, you'd better play more than 5000 videos within one hour, and if you like more than 100 videos, you're more likely to be recommended by the system
four dimensions: the number of finished broadcasts, the rate of likes, the number of forwards, and the number of comments and interactions
publishing time: it's best to publish at 11-13 noon, 5-7 PM, and 9-11 PM. These three periods are the peak periods of user access. After your video is published, the system will basically recommend some traffic.

4.

1、 Recommendation principle of intelligent algorithm

the essence of intelligent algorithm recommendation is to match the most interesting content for current users from an aggregate content pool

this content pool contains tens of millions of content every day, covering 15s short video, 1min long video and 5min super long video

when matching content to users, the platform mainly depends on three factors: content, users and their interest in content

How does the

system understand our creative content

when describing the content, the platform will mainly rely on keyword recognition technology: by extracting the keywords in writing and video, the content will be roughly classified according to the keywords, and then the classification will be refined according to the keywords in the subdivision field

for example, the keywords of video and content are "Ronaldo, football, World Cup"

most of the key words belong to sports vocabulary. You will first classify your works into sports categories, and then subdivide them into "football", "international football" and other secondary and tertiary categories according to the specific key words

user characterization

through this series of comparison and analysis, the system speculates and restores the basic attributes of a user, for example: TA may be a male who is traveling and likes football, car and other categories

the system will classify the above user characteristics as the user's tag

User tags are mainly divided into three categories:

1) basic information of users (age, gender, region)

2) user's behavior information (attention account number, history wandering record, like collection content, music, topic)

3) reading interest (reading behavior, user clustering, user tagging)

according to the user's information and behavior, the system analyzes and calculates the user's classification, topics, people and other information, so as to complete the system's characterization of users

the essence of recommendation algorithm

uses the characteristics of works (keywords, labels, popularity, forwarding, timeliness, similarity), user preferences (short-term click behavior, interest, occupation, age, gender, etc.), and environmental factors (region, time, weather, network environment) to fit a function of user satisfaction with content, It will estimate the user's click probability for each work, and then rank all the works according to their interests from tens of millions of content flow pools in the system. The top 10 works will stand out at this time and be recommended to the user's mobile phone for display

it's probably like this. If you want to learn, you can write to Xiaobian in private

5.

tiktok has been deleted, will the works drop? Tiktok changes the data without playing the volume. How to do

tiktok short video quality is higher than the quantity! I believe there are many new beginners who are tiktok, and feel that their content recommendation is not high enough. p>

in fact, you have already fallen into the pit. Taking videos is like writing. It doesn't mean that if you write more, you will be able to write well. If you don't take more videos, you will be watched

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. The weight of each step is different. When it reaches a certain level, the mechanism of combining big data algorithm with manual operation is adopted. So what those who play the night millions of players are forced to do is not aware of the tiktok, but in fact the weighting of big data algorithms. P>

tiktok:

: the right topic, the topic can help the system accurately locate your video content, recommend more accurate crowd, and the cold start stage will be better. So where is the content of this topic? Tiktok, you know, you know, we have a "tiktok topic" when we release the video. This must be used. We should remember to add every sound when we release each of the contents. We must not neglect it. For example, what we do is the wearer account and the wearer account for proct promotion. When we publish the content, we must choose "wearer". Before judging your topic, the system can recommend the video you added to the people who have browsed the wearer topic before. Because they like to see the wearer content, these people are more accurate, Tiktok has broken through the system's judgement of our video content, and directly promoted to our precise crowd, so we can use this topic. For example, if we do not have the right topic to publish the chattering content, what should we do? We can use the current hot topics to choose the hot topics. When there is no suitable topic for video content, we can choose the hot topics. The traffic on these topics is relatively large, even if the topics and our content are not so accurate, because the traffic on hot topics is very large, It will also bring good traffic in the cold start stage of our works in the early stage. So this topic function, the boat club community suggests that you must remember and use it

tiktok tiktok two:

according to popular festivals and heat events, China's festivals are a few more festivals in a year, so we must consider ahead of time when we do the jitter. Recently, there are no bigger festivals. All of them are written on the calendar. We should make some festivals related content according to the time. Tiktok tiktok, for example, is also very popular on the shaking. We can make the jitter content according to the elements of Mid Autumn Festival, moon cakes, Chang'e rush to the moon, etc., to proce high content of festival contests. We can know the festival content in advance, and we should prepare ahead of time tiktok, and we can release these video in the festival. In order to release our program content in advance on the festival day or the days before the festival, and get good traffic

6. Tiktok algorithm is actually a funnel mechanism, which is basically consistent with the principle of recommendation algorithm of the headline's de centralization. Tiktok tiktok is divided into three steps:

first, cold start flow cell exposure

suppose that 1 million people upload short videos every day on the shaking, and the jitter will randomly assign each cold video to a cold start flow pool with an average exposure. For example, after each short video is sent out by auditing, there are 1000 exposures

second on average. Data selection

tiktok will analyze 1000 points of the 1 million short videos, analyze the data of each dimension such as point, attention, comment, forwarding and so on, and then pick out videos with more than 10% indexes, and then distribute 100 thousand times on average. Then go to see which are like, follow, forward and comment more than 10%, and roll into the next round of larger flow pool for recommendation

thirdly, the boutique recommendation pool

through round after round of verification, short videos with extremely high liking rate, playback completion rate, comment interaction rate and other indicators are screened out to have the opportunity to enter the boutique recommendation pool. When users open the pool, they see videos with tens of millions of likes< br />
: " We are paladins. We can't let revenge occupy our consciousness& quot;,

7. The hardware is completely OK, and the graphics card 1060 can be fully configured. The processor i78750h is all right. It's smooth

8. Tiktok algorithm is actually a funnel mechanism, which is basically consistent with the principle of the de center algorithm of today's headlines. Tiktok is divided into three steps: first, the cold start flow cell exposure assumes that 1 million people upload short videos every day on the tiktok, and the randomly allocated video streams are distributed to each short video. For example, each short video is released by the audit, and the average exposure time is second. The data pick tiktok will be analyzed from 1000 exposures of the 1 million short videos, and the data of each dimension such as point, attention, comment and forwarding will be analyzed. Then, the video with more than 10% indexes can be singled out, and each 100 thousand distribution will be evenly distributed on the average of 1000. Then go to see which are like, follow, forward and comment more than 10%, and roll into the next round of larger traffic pool. Third, the boutique pool has passed round after round of verification and screened out short videos with high praise rate, play completion rate, comment interaction rate and other indicators to have the opportunity to enter the boutique pool. When users open the pool, they can see videos with tens of millions of likes.