First, originality

After the headline machine receives our article, it will analyze it first. Just like the paper exam in college, he will compare it in his own article library to see if there are any similar articles. If the article is too similar, it will think that you plagiarized and will not recommend it to you.

Step two, step on the label.

When we read the article in the title, there will be a label displayed. The title can be written with four labels, each label represents a class of users. Headlines will recommend articles to authors with this preference according to their labels.

Third, the number of words should not be too small.

Although the self-media platform advocates short articles, the number of words in the article should not be too small, otherwise the machine will not be able to recognize your article, which will inevitably lead to the readability and value of the article. The platform will also think that this article is a waste and may be restricted.

Fourth, the article avoids typos.

Sometimes writing and typing are faster, and you won't check word for word. Sometimes there will be errors in the input method, and typos will affect the judgment of the machine on the article and the reading of the user. After editing the article at ordinary times, you should skim it.

Today's headline is a recommendation engine product based on data mining. It recommends valuable personalized information for users and provides new services to connect people and information. It is one of the fastest-growing products and services in the domestic mobile Internet field.