想要在抖音占據一席之地當然要了解抖音的規則，這里主要說一說抖音的推薦機制，對于視頻的推薦可以說是一個漏斗機制，跟今日頭條的去中心化的推薦算法原理基本一致。 它分為 三個步驟：

If you want to occupy a place in Tiktok, you must understand the rules of Tiktok. Here we mainly talk about the recommendation mechanism of Tiktok. For video recommendation, it can be said to be a funnel mechanism, which is basically consistent with the principle of the decentralized recommendation algorithm in Headlines today. It is divided into three steps:

1.冷啟動

1. Cold start

假設每天在抖音上有 100 萬人上傳短視頻，抖音會隨機給每個短視頻分配一個平均曝光量的冷啟動流量池。比如，每個短視頻通過審核發出后，平均有 1000次曝光。

Assuming that 1 million people upload short videos on Tiktok every day, Tiktok will randomly assign a cold start flow pool with average exposure to each short video. For example, after each short video is reviewed and sent out, it has an average of 1000 exposures.

2.下一輪流量池曝光

2. The next round of traffic pool exposure

數據挑選抖音會從這 100 萬個短視頻的 1000 次曝光，分析點贊、關注、評論、轉發等各個維度的數據，從中再挑出各項指標超過 10%的視頻，每條再平均分配 10萬次曝光。

Data selection Tiktok will analyze the data of likes, concerns, comments, forwarding and other dimensions from 1000 exposures of the 1 million short videos, and then select the videos whose indicators exceed 10%, and each video will be equally allocated 100000 exposures.

然后再去看哪些是點贊、關注、轉發、評論是超過 10%的，再滾進下一輪更大的流量池進行推薦。

Then go and see which ones have more than 10% likes, followers, shares, and comments, and roll them into the next larger traffic pool for recommendations.

3.精品推薦池

3. Premium recommendation pool

通過一輪又一輪驗證，篩選出來點贊率、播放完成率、評論互動率等指標都極高的短視頻才有機會進入精品推薦池，用戶打開時，看到的那些動輒幾十上百萬點贊量的視頻就是這么來的。

Through round after round of verification, short videos with extremely high likes, completion rates, and interaction rates of comments are filtered out to have the opportunity to enter the premium recommendation pool. When users open them, the videos they see with tens or even millions of likes are obtained in this way.

通過提升 點贊量、關注量、評論量、轉發率 等指標，獲得更大的官方精準推薦，贏得更大的曝光。

By increasing metrics such as likes, followers, comments, and reposts, we can obtain more accurate official recommendations and gain greater exposure.

5內容發布時間

5 Content release time

給予抖音的推薦算法來看，視頻發布的時間對于整體的效果其實也是有影響，如果你在目標用戶比較活躍的時段發布，那么也就有更大的幾率被感興趣的用戶看到，也就可能進入更高推薦的流量池。

According to the recommendation algorithm given to Tiktok, the time of video publishing actually has an impact on the overall effect. If you publish at a time when the target user is more active, you have a greater chance of being seen by interested users, and you may enter a higher recommended traffic pool.

根據統計顯示，有 62%的用戶，會在飯前和睡前刷抖音，而在公司路上、上廁所等碎片化時間刷抖音的僅有 10.9%。

According to the statistics, 62% of users will use Tiktok before meals and bedtime, while only 10.9% will use Tiktok during the fragmented time on the company's roads and toilets.

你可以想象一下，自己的目標用戶的習慣是什么，比如說是學生黨、上班族、寶媽還是其他，他們在抖音活躍的時間是什么時候呢？他們哪個時間段更想看什么樣的內容？

Can you imagine what the habits of your target users are, such as student party members, office workers, Baoma or others? When are they active in Tiktok? Which time period do they prefer to watch what kind of content?

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