Headlines adopt intelligent recommendation mechanism. If the article wants to get more exposure, it needs more recommendations. Headlines are divided into first-class recommendation and second-class recommendation. The scope of the main recommendations is usually related to the account index. The higher the account index, the more the main recommendations. The amount of secondary recommendation is determined by the user feedback data in the primary recommendation. The better the user's feedback data, the higher the number of secondary recommendations will be.
Points to pay attention to if you want to get high recommendation:
The article starts with the headlines, and it should be published manually as far as possible, and less data synchronization tools should be used.
Try to be original and avoid duplication.
Clear labels, optimize keyword layout, and step on popular labels.
The title should be attractive.
In general, the following situations are not recommended:
The article involves unsafe factors such as vulgar pornography and politically sensitive information.
Content repetition rate is too high.
Contains bad advertising information.
The title is a bit exaggerated.
So to ensure the security of the article, if you can't accurately predict the risk of the article, you can use tools to detect it before posting, such as easy writing. Its article risk violation tool can effectively detect information with potential safety hazards such as forbidden words and sensitive words contained in articles, and accurately guarantee the safety indicators of articles and accounts.
Image from Easy Write-From Media Database
Eight factors affecting headline recommendation:
1, clicks+reading completion rate
Click volume refers to the open data of the article, and reading rate refers to the complete reading data of the article. Besides the quality optimization of title and content, we also need to pay attention to the optimization of article labels. Headline push articles use user tags to match the content, and there is a corresponding audience behind each tag. Try to step on a label with a wide audience coverage.
Just like your tags only cover 5W users, while others' tags cover 10W users, even if the quality of your articles is no matter how good, you will lose a lot in reading base. How can you be competitive? So try to step on the label with wide audience coverage and improve the reading base.
2. Clear classification
As mentioned above, the headlines match the corresponding content tags according to the user tags, so we need to ensure that the tags of our articles are consistent with the tags of our target groups, so as to ensure that the articles can be accurately pushed to the interested user groups without causing branch and traffic loss.
Therefore, it is necessary to clarify the domain name information and user group information in the title and article to ensure that the machine can accurately identify the article and correctly divide the domain name.
3, the title is consistent
Don't exaggerate the title, and don't sell dog meat. The title should conform to the information of the article and not deceive the user.
4. The content is of high quality
This point needs no explanation. Everyone knows that the quality of the article is the key to determine the recommended amount. The better the quality, the wider the spread.
5. The account positioning is clear.
Pay attention to the verticality of the content of the article, and make clear the domain information. The confusion of posting domain will affect the vertical index of the account, which is not conducive to increasing the number of recommendations once.
6, the amount of interaction
That is, fans turn to praise and pay attention. The higher the data you like and pay attention to, the more you recommend, which also needs to start from optimizing the content of the article.
7. Heat outside the station
The higher the data outside the station, the higher the number of articles recommended. After posting, you can use social accounts to forward articles, which will increase the exposure of articles and increase the popularity outside the station.
8. Release frequency
Every platform likes active users, so to keep the frequency of posting articles stable, you can't fish for three days. Being online for two days is not conducive to improving the number of articles recommended.
This is the specific situation of eight factors that affect headline recommendation. You can optimize your article information from the corresponding points and improve article recommendation. If you have better suggestions, you can also share comments and learn together.