Some users have financial interests

shafi654@gmail.

However, the relaxation period of this indicator As the author's content release quantity, registration time and other indicators advance, the standards will be gradually tightened to maintain the balance of the entire ecology. Content reference: Novice authors are generally between the two roles of users and authors. They can make cross-feature recommendations among multiple roles through the vertical track chosen by the author. It can also tap the sustainability of content release for creativity, which has a relatively benign effect. Possible author Content-driven,


complete transformation. For possible authors, users at this Afghanistan WhatsApp Number stage are in the swing period from users to authors. Users in this period need to be stimulated by corresponding interest points and find track KOLs that they can imitate or hope to engage in to solve a problem. Interest point stimulation and content release direction and "homework" are two issues. Typically, a recommendation system requires several things that are important at this stage of the user's life: Accurately identify and mine such users: How to identify such users can usually rely





manual and algorithmic rules, such as attribution and feature statistics through pre-behavior data and basic data of novice authors. It can be concluded relatively accurately what kind of users will become authors. Provide appropriate interest incentives: After identifying the user, the recommendation system can provide interest incentives at this stage, such as what are the benefits of becoming an UP owner and how much money does it cost to be an UP owner, and gradually try to change the user's role? Generally speaking, different types of users have different interests.  and some have data interests. It is feasible for the recommendation system to conduct personalized or multi-interest exploration in this scenario.