Tiktok mechanism to de centralization
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.
the advantages of the algorithm of
understand the recommended algorithm of shaking, so that we can do the jitter. So before that, we need to understand its benefits, in order to grasp the proction direction of 15 second video content
flow de centralization algorithm
how to tiktok? The tiktok algorithm is very attractive, and what makes it tiktok is that the traffic assignment of the jitter is decentralized. Tiktok recommendation algorithm logic can be divided into three parts:
1. Smart distribution
jitter is a proct of today's tiktok series, and headline procts are always different from other Internet procts in centralized traffic distribution. They are decentralized traffic allocation mechanisms.
for example, Weibo is a centralized traffic distribution, and no one pays attention to the fans who just opened Weibo. And even tiktok, even 0 fans, can distribute dozens of videos or even hundreds of small videos.
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 thesystem 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
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
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;,
tiktok is a centralization of music creative short video social platform, which means that every trumpet has the opportunity to have millions of fans and even millions of fans. Even if we are new, as long as our content is popular, more and more people will pay attention to it
. For example, if there are advertisements, whether there are watermark or LOGO, whether the content is indecent or bloody, the official will be able to return or restrict the video violation (only you can see your own content). If there is no violation, the official will make a random recommendation, and the platform will give a certain amount of initial recommendation traffic according to the weight of our account. The initial recommendation will be given priority to the nearby people, fans who follow us and the people we follow; Then it is to cooperate with user tags and content tags for intelligent distribution
1, machine audit,
machine audit, and the primary trial of the system. The main purpose is to determine the risk level of video tiktok, and distribute it to different auditors according to the risk level. The contents of the vibrato release can be checked through machine very efficiently. < p>
Tiktok p>
2 and weighted recommendation
, as long as the released videos are normal content without violation, they will get a certain amount of weight recommendation to ensure that a new work can be displayed to some users. This is also the charm of the jitter. p>
3. Superimposed recommendation
after weighted recommendation, the system can judge the quality of the content according to the feedback collected (end broadcast, like, comment, forward, attention). Popular content will be further recommended, while unpopular content will be compressed
when the recommendation is superimposed, if the system receives many abnormal data, such as the increase of negative comments and reports, the video will enter the audit process again, which will be more strict than the initial audit
FN FutureNet has been recognized as MLM by the public security department
FutureNet claims to be located in Poland, Europe. It has been established for more than four years and has many operating companies all over the world. The business is spread over more than 190 countries, and about 1000000 paid members claim to make use of the trend of Internet plus big data + virtual currency + doubling. We should build FuturoCoin (future currency) into one of the three largest digital currencies in the future. p>you can observe the mode of the website: the entry fee of FN future is divided into six levels: 10 US dollars, 25 US dollars, 50 US dollars, 100 US dollars, 500 US dollars and 1000 US dollars. There can only be three people below each level, namely 3 people on the first floor, 9 people on the second floor, 27 people on the third floor, 81 people on the fourth floor, 243 people on the fifth floor and 59049 people on the tenth floor
invest $185, and you can earn $800000 on the 10th floor! From the perspective of the design of this mode, some routines of Vicat are used for reference. Under the banner of the decline of the public volleyball team and the victory of lying down, the MLM organization vigorously carries out the pyramid selling activities of pulling people's heads. The platform recharge activation adopts bitcoin recharge operation to avoid capital supervision and carry out illegal and criminal activities. FN FutureNet boasts that it ranks first in the field of social networking sites
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extended materials
the ways to make money online are as follows:
1, website traffic conversion mode
< P > for advertisers to put advertisements on their own websites, so as to convert website visits into advertising revenue (this mode usually appears in the form of network alliance, such as Google Adsense, online competitive advertising, EBay, eBay's membership registration Commission, etc.)in these network alliances, Google Adsense is one of the network alliances with the largest number of websites and the highest proportion of commission. If you have your own personal website or blog and have a certain number of visits, you can obtain income by applying for Google Adsense
2. Sales commission mode
for example, websites join dangdang.com and excellence.com website alliance to promote procts for these e-commerce retail websites on their own websites. When users come to dangdang.com, excellence.com or rili mall through proct links of websites or indivial member websites and make purchases, alliance members will get a certain sales commission
3. Sales mode of online sales of procts