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What are the reasons for the large number of recommendations and the small number of readings?
After the official account of WeChat WeChat, the media is undoubtedly another wave of heat waves, and the recommended clicks of media works are undoubtedly equal to the income of the media. So how does the big fish increase the recommendation from the media?

This is the background data of three articles published by the author on August 7th. It is recommended to read1.8w.

This is the recommended amount of two articles published by the author on August 8th. The recommended amount is only 1.5W, and the reading amount is even less than 800.

This difference is not a star and a half, and the recommendation on August 8 is only a fraction of that on August 7, so I will contact customer service to see if it is a system problem. But the customer service is a sentence. The system gets the recommendation. So how to improve the probability of being crawled for system recommendation?

The author found the reason after communicating with other self-media authors in the group. What is the first thing your users come into contact with? Yes, the title! Therefore, the choice of topics is very important, which not only affects the reading volume, but also has a great relationship with the recommendation volume.

1. First of all, you can't be the title party. This has nothing to do with the recommended reading. Now their respective media platforms are rectifying the title party. If it's blocked, it's no use reading more.

2. The title should indicate personal opinions. The biggest difference between self-media and traditional media is that it is personal. So personal opinion is very important.

3. With domain name keywords, on the one hand, it can improve the chances of being included, on the other hand, it will also increase the verticality of your big fish.

The topic is not easy to be too long. This view was put forward by other media friends in the group. It is said that although the keywords are too long, the article is relatively independent. The more independent it is, the fewer people it targets. This will also affect the recommendation