The headline index can be understood as: how much of your content is worth recommending. The index is the account value score obtained by the machine by recording and analyzing the content created by the author and the reading and attention behavior of readers in a period of time, including five dimensions: health, attention, communication, verticality and originality. The higher the title index, the more articles recommended.

Second, the second key point in the recommendation process: click rate, reading completion rate, forwarding, etc.

After trying to recommend a number for the first time, today's headlines will decide whether to recommend it for the second time according to the recommended click-through rate and reading volume. What's the recommendation number? The more people click on the title to read the article, the higher the recommendation. The longer the article is published, the lower the number of recommendations. In theory, there are 72 hours of recommendation time, but in fact, most of them will not exceed 48 hours, and more than 80% of recommendations are completed within 24 hours.

Extended data:

Recommendation mechanism of recommendation amount:

I recommended an article to 1000 users for the first time. If these users have high click-through rate and high sharing and forwarding rate, the system judges that users like this article very much and extends it to 10000 users. If the click-through rate of this round of recommended users remains at a high level, the system will extend the article to 30,000 users, 50,000 users and 65,438+again.

Let's take a look at some factors that affect the recommended amount:

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