揭秘抖音算法逻辑背后的密码，记得收藏！

要在抖音平台上崭露头角，深入理解其内在规则至关重要。这里我们将详述抖音独特的推荐机制，它与今日头条的去中心化推荐算法原理有着异曲同工之妙，宛如一个精密的漏斗筛选过程。

In order to emerge on the Tiktok platform, it is very important to understand its internal rules. Here we will detail the unique recommendation mechanism of Tiktok, which is similar to the principle of today's headlines' decentralized recommendation algorithm, just like a precise funnel screening process.

1、冷启动阶段：设想每日有百万级别的创作者在抖音上传短视频作品，抖音会运用一套公平机制，为每一条通过审核发布的短视频分配一个初始平均曝光流量池，例如，每个短视频初步可获得大约1000次的曝光机会。




1. Cold start stage: It is envisaged that millions of creators upload short video works in Tiktok every day. Tiktok will use a fair mechanism to allocate an initial average exposure flow pool for each short video that has passed the review and release. For example, each short video can initially obtain about 1000 exposure opportunities.

2、下一轮流量池筛选：在这一阶段，抖音系统将对这个百万级短视频的初次1000次曝光进行深度数据挖掘和分析，涵盖点赞数、关注数、评论互动以及转发次数等多个核心维度。从中甄选出各项指标表现超过平均水平10%的视频，再赋予每条视频额外的10万次曝光量。紧接着，系统继续监测这些视频在新一轮曝光中的点赞、关注、转发及评论等数据的增长情况，以此作为评判标准，推送至更大规模的流量池中进行展示。

2. The next round of traffic pool screening: In this stage, the Tiktok system will conduct in-depth data mining and analysis on the first 1000 exposures of this million level short video, covering many core dimensions such as likes, concerns, comment interactions, and forwarding times. Select videos with performance indicators exceeding the average level by 10%, and assign an additional 100000 exposures to each video. Subsequently, the system continues to monitor the growth of data such as likes, followers, reposts, and comments for these videos in the new round of exposure, using this as a criterion for evaluation and pushing them to larger traffic pools for display.

3、精品推荐池晋级：经过多轮严苛的数据验证与筛选，只有那些点赞率、播放完成率、评论互动率等关键指标均表现出色的短视频，才有望进入抖音的精品推荐池。用户在打开抖音时所看到的那些动辄几十上百万点赞量的爆款视频，正是由此诞生。

3. Promotion of boutique recommendation pool: After several rounds of rigorous data verification and screening, only those short videos with excellent ratings, playback completion rate, review interaction rate and other key indicators are expected to enter the boutique recommendation pool of Tiktok. It is from this that the popular videos that users see when they open Tiktok are often tens of millions of likes.

因此，通过科学提升点赞量、关注量、评论量以及转发率等关键指标，创作者能够赢得抖音官方更为精准的大流量推荐，从而实现自身作品更大的曝光度和影响力。

Therefore, by scientifically improving key indicators such as likes, attention, comments and forwarding rate, creators can win more accurate mass traffic recommendations from Tiktok officials, thus achieving greater exposure and influence of their works.