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Log in to Douyin, in the "Me" interface, click "Three" in the upper right corner to enter, click "Settings", and then click"Privacy settings"to turn off the "Allow me to refer to people I may know", please refer to the main steps below**:
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I will mention the detailed method later, but here is a brief point to inspire your thinking. For example, since the number of comments is very important, should you consider setting up some interactive questions to guide users to leave comments when writing the title copy?
In fact, it's still very interesting, it will, bring fire to some high-quality old **. So you are more optimistic about some **, even if it is not popular at the beginning, you have to continue to give it some likes and comments, through the circle of friends.
Go for it. He may not be recommended this week, but he may be recommended next week.
Don't make any assumptions about the user.
About Douyin. The recommendation algorithm of the homepage can also be taken out, and from the perspective of content logic, the Douyin recommendation algorithm retains the freshness to the greatest extent. The Douyin homepage uses recommendations based on user behavior.
The similarity of features is calculated, and the higher the similarity, the greater the recommendation probability. The disadvantage of this recommendation method is that the recommended content lacks freshness, and users click to see long-legged beauties, so there is a high probability that the content behind them is also long-legged beauties.
Another method of recommendation is based purely on user behavior data. This method does not make any assumptions about user preferences and does not do feature extraction of the content text.
Speaking from personal experience, feature engineering is a two-sided weapon, but the reality is that feature engineering often fails to unearth the underlying intent and characteristics of content (**, audio, or text). From the principle of increasing information entropy.
to understand that the uncertainty of the world is always moving in the direction of increasing. Feature extraction introduces artificial subjective bias into the model. The best assumption is not to make any assumptions.
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If you want yourself not to recommend people you may know on Douyin, first of all, you can't use one of your real identities, or your mobile phone number to register, because in this case, he will recommend some people you know according to the address book to you who have recommended you to others, or you can close a record of the address book, he will not recommend your things, in fact, he can be set up in the settings, but the main thing is to say that you have an attitude problem, You'd better just say don't use some comparison with others, know this mobile phone number to register, you can choose to use other ways to register a Douyin account, and don't often brush some information about your family, he will pop up in the store by default, there is a ** about your place and your family.
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Under normal circumstances, then in fact, I don't think he can recommend himself to people he may know, generally speaking, it's random, and there is no way to ask for this.
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When you log in to Douyin, Douyin will prompt you to read your address book, you should refuse, and never let Douyin read your address book.
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You don't need to operate this yourself, this is very simple, you only need to authorize Douyin to view your **shop.
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You can close your address book for a while, and if you don't let TikTok access your address book, you won't be referred to others.
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Then you can hide your Douyin, and after you hide it, you won't recommend it to others, because you don't want to add others.
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It should be difficult to do this in Douyin, as if I can block myself in my own settings.
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This is not something you can decide by yourself, this is a platform to decide, as long as you send it out, your work will be seen by others.
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Actually, I also have this kind of thought, and I feel that it would be nice to recommend him to someone I know.
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If you want Douyin not to recommend people you may know, it's actually very simple, that is, ask Douyin not to authorize your address book permissions. Usually he recommends to people you may know who have access to your address book.
Key features:Douyin's latest beta version has added a new social feature - "Friend Chat Room", which supports Douyin's powerful filters, beautification, and prop functions.
On March 24, 2021, Douyin launched the "Friends for the Elderly" program, which is committed to improving the experience of elderly users and enriching the lives of elderly users.
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2 Click on the Settings option in the menu.
Click on the option of privacy settings.
Question: It turns out that my Douyin recommends Douyin from people you may know.
Just turn on the switch behind Recommend to people you might know in the bottom menu.
After asking a question, I unintentionally clicked on Douyin that I didn't follow someone I might know.,So I can't see it.,I want to reply.,I also recommend Douyin posted by someone you might know.。
Ask a good question, I'll try.
The question is not to recommend me to people I may know, but to recommend to me Douyin from people I may know on Douyin.
That's what I mean.
It's all universal.
Douyin is based on the length of time you **,The content of the stay,Give the questions you like to see, I don't know what's going on.,Recently, I don't recommend people you may know to send Douyin answers before pushing to you.,Maybe you** have less times.,Don't push it or it's set by others themselves.,Not recommended for people you know to see more 18.
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Douyin needs its own settings to recommend people you may know, and you can see it as long as you set it yourself. By binding your mobile phone contact number, you can recommend people you know.
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That's because you've turned it off, or you've turned off the people you might know or people nearby in the settings, so it's gone.
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I think the recommendation of these students is also for the better development of this person.
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If you want to not read it on Douyin, you may know people to recommend it, in fact, the most important thing is that you don't let Douyin access your address book permissions, so that the ones who recommend you are basically gone.
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1. Basic traffic.
Douyin provides a traffic pool for every work, regardless of whether you are large or not, and what the quality of the work is. The effect of your subsequent dissemination depends on the performance of your work in this traffic pool. Therefore, we should cherish this traffic pool and find ways to make our works stand out in this traffic pool.
Douyin evaluates your performance in the traffic pool based on 4 criteria: likes, comments, **, and completion rate. Knowing these 4 criteria, we have to find a way to mobilize all the power you can mobilize to like, comment, **, and finish it** when we send it out at the beginning.
2. Superimposed recommendations.
After all, there is a limit to the power we can mobilize ourselves, so when the work is promoted to a larger scale, it is not something that we can manually intervene in. Since the number of comments is very important, when writing the title copy, you should consider setting up some interactive questions to guide users to leave comments.
But here's a word of caution: don't go for traffic. Now we see**There are all kinds of shops that brush Douyin traffic, comments, and likes, don't do this kind of thing, you will definitely be locked up in a small black house, definitely. So don't speculate.
3. Time effect.
Some** didn't catch fire after they were filmed, but after a few days, a week, or even a month later, this ** suddenly became popular. So this recommendation algorithm is actually very interesting, it will "dig graves" and bring fire to some high-quality old **.
So some of the more optimistic**, even if it doesn't catch fire at the beginning, you have to continue to give it some likes and comments, and go ** through the circle of friends. It is possible that you may not be recommended this week, but it may be recommended next week.
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Read those explanatory texts, slowly
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This is pushed by the Douyin system. At present, people who often promote ** on Douyin will find that the system often recommends you some people you may know, and then you will find that the people you may know recommended by the system may really be your friends or relatives.
To sum it up, there are five points:
2. In the background system of the Douyin platform, there should be a very detailed summary of the classification of crowd portraits, and you will judge which type of ** and person you like according to your preferences, stay time, and type of likes;
3. For example, when you are watching, pets, **, you like and comment a lot and stay for a long time, and you can watch it several times, so you may recommend it more for everyone later; There are more beautiful women who watch singing and dancing, and it is very likely that more beautiful women will be recommended to sing and dance in the future**.
4. Then friend recommendation is the same as the above algorithm, matching the same type of person to everyone according to everyone's preferences, so that everyone will stay after finding their favorite content on the platform, so that user retention and activity will slowly increase!
5. And now Douyin's algorithm is still refining, adjusting and upgrading, and the distinction between crowd portraits will be more detailed in the future, so that everyone can easily find the person they like.
Okay, let's talk about how to turn on friend referrals
Mobile phone K30, Douyin version.
2.Open the personal information screen and click [3].
3.Click Settings
4.Click Privacy
5.Go down to Recommend someone you might know and click on it
6.Click Enable by default
The above are all the steps to turn on friend recommendations, I hope it will be helpful to you.
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We first open the Douyin app on our mobile phone, click on "I click on Zhou, the symbol "three" in the upper right corner, click on "Settings", click on "Privacy Settings", click on "Recommend to people you may know", and finally click on the close recommendation button.
Douyin recommendation means that there should be a very detailed summary of the classification of crowd portraits in the background system of Douyin, and it will judge which type of ** silver resistance and people the user likes according to the user's preferences, stay time, and type of like, so as to push relevant content.
When brushing ** on Douyin, many people find that the ** recommended by Douyin are what they are more interested in, or some things they want to know in the near future, in fact, this is the function of big data on the Douyin platform, which can recommend content according to the user's closest interests and hobbies.
1. Machine audit.
Machine audit is also the preliminary review of the system, the main purpose is to judge the risk level of **, according to the different risk levels of distribution to different reviewers, the content published on Douyin can often pass the machine review very efficiently.
2. Weighted recommendation.
As long as the ** published is normal content without violations, then it will get a certain amount of weighted recommendations to ensure that a new work can be displayed to some users, which is also the charm of Douyin.
3. Superimposed recommendations.
After the weighted recommendation, the system can judge the quality of the content based on the feedback collected by Changxian (finishing, liking, commenting, **, following). Popular content is further recommended, while unpopular content is condensed.
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<><3. Enter the personal page and continue to click on the icon in the upper right corner, as shown in the figure below.
4. After clicking, a selection box will appear from the side, click the settings at the bottom.
5. After entering the settings page, click [and security], as shown in the figure below.
6. You can see a lot of content, such as Douyin account, mobile phone binding, etc., continue to click [third-party binding] here.
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