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Short videos: how to make your work stand out and what to do to take advantage of Jitterbit's algorithm?
Shake Voice provides a traffic pool for every work, no matter whether you are a big number or not, and what the quality of your work is. The effect of your subsequent spread depends on the performance of your works in this traffic pool.

And the new video traffic distribution is based on the neighborhood and attention, and then with the intelligent distribution of user tags and content tags, such as the new video has a high completion rate and high interaction rate, this video has the opportunity to continue to add traffic.

This is precisely the reason why 0 powder can also be 10w + overnight, overnight popularity, so the decentralized algorithm of the jittery voice to let people "rain and dew", this wave of dividends to give everyone the opportunity to have a look every day!

So, after understanding this point, we should find ways to make our works in this traffic pool have outstanding performance.

Shake Voice evaluates your performance in the traffic pool with reference to four criteria: ① the number of likes ② the number of comments ③ the number of retweets ④ the completion of the broadcast rate

Knowing these four criteria, we have to find a way to mobilize all the forces you can mobilize when the video is sent out in the beginning to like it, comment on it, retweet it, and finish playing it.

The so-called stacked recommendation, refers to the new video will be intelligently distributed around 100vv playback, such as forwarding volume of 10 (for example), the algorithm will be judged as popular content, automatically weighted for the content, stacked recommended to you 1000vv, forwarding volume of 100 (for example), the algorithm continues to stacked recommended to 10,000vv, forwarding volume of 1,000 (for example), then stacked recommended to 10 wvv, and so on. Recommended to 10wvv, and so on cumulative push ... So those overnight millions of playback of the jitterbug master also blindfolded, do not know what happened to God, in fact, is the big data algorithm weighting.