The most in-depth explanation of the Tik Tok algorithm mechanism!

Nowadays, with the continuous development of technology, the recommendation algorithm function is becoming more and more powerful. More companies and brands will use algorithm mechanisms for push. For example, Douyin uses algorithm mechanisms for precise push, and users like it very much.

Today we will talk about the most in-depth analysis of Tik Tok's algorithm mechanism and decipher the core algorithm mechanism of the platform. We will mainly talk about how Tik Tok's algorithm mechanism works, how our account label prototype is established, and how ByteDance's artificial intelligence AI analyzes and establishes the mathematical model of our account.

1. Characteristics of ByteDance Platform Algorithm

First of all, we must understand that ByteDance is first and foremost an advertising company. For an advertising company, huge amounts of data are its most important product and the product with the best monetization potential.

Based on this principle, we can be sure that its algorithm will not be too commercialized (compared to the cat and dog stations), so the chances of getting something for free are very high. However, as an announcement company, the core is to sell traffic. The effect will be better with the addition of RMB. This is why the current traffic of Douyin is considered cheap on the entire network. 100 yuan can buy 5,000 impressions.

Douyin is actually an algorithm platform that uses big data intelligent AI to identify big data, analyze the content of each video, and identify each user's interest tags through actions such as likes, stays, comments, reposts, and followers.

Then a large number of tags are added to the content and users respectively to accurately match relevant content to users.

For example, if you like to watch young ladies dancing or food making and other related content, the system will search and identify the content related to these two among tens of millions of content and push them to you.

For users, this is a self-contained information cocoon.

This will save a lot of time and promotion for the content.

Therefore, labeling accounts is very important and cannot be ignored.

Only after the labels are added can the platform identify and clearly push the content to what kind of people.

2. How does the system label us?

Doubaba’s intelligent AI will establish a set of data models for each account and each user.

Establishment of user tag model:

The platform determines user attributes through actions such as likes, comments, and conversion rates. After a certain period of accumulation, the platform will provide users with a unique data model. This model contains your attributes and interest tags, including age, gender, region, industry, interests and hobbies, spending power, and other information.

Establishment of account label model:

Similarly, when we create a new account, the artificial intelligence AI system also needs to capture a large number of keywords through our content, so as to analyze our video content, and constantly try to push it to people who may be interested in your video content, and then analyze the reactions of different groups of people after watching your video content; for example, some people swipe away after watching it for 1 second, while some people not only become fans after watching it, but also like and comment on it; then the intelligent AI will extract the unique labels of these groups of people and gradually optimize the precise groups of people.

So every time a user watches our video, artificial intelligence is analyzing and learning the content of our video. And further improve the process of data model of our account.

The faster the model is built, the easier it is for our video content to be pushed to more accurate users, allowing the account to gain followers faster.

3. How to build data models faster

This is the most important question for creators.

How to help the system build data models more quickly?

The answer is:

The content must be vertical enough and the playback volume must be large enough!

Anyone who has a basic knowledge of computers and AI computing knows that the prerequisite for artificial modeling is that the data must be large enough to have sufficient data learning space. Only when the amount is large enough can our data model be accurate enough.

If we only rely on the initial 500 junk traffic provided by the platform, and all of it is inaccurate traffic, the quality of the analysis results will be extremely poor, and your model may not be able to be produced even after half a year.

How many views are needed for AI to learn?

To get started with at least tens of thousands of views, the best way is to spend money on Doujia. As mentioned above, Doubaba’s traffic is currently cheap on the platform. You can buy 5,000 impressions for 100 yuan, and you can get 50,000 views for 1,000 yuan.

Rapidly increase the number of views, help the system analyze and learn more quickly, and build a data model for the account.

Once the model is established, it will be pushed to a larger and more accurate traffic pool, and the number of fans will increase faster and faster.

The above is the real perspective based on platform algorithms and artificial intelligence, telling you the core logic of how Douyin builds a fast account

Only if you understand this logic, can you know how we should create an account!

So you've given up learning?

Author: Wild Daan

Source: Wild Pie Daan