Usually the platform will have standards

shafi654@gmail.

Social stimulation: Xiaohongshu-type communities usually have certain social attributes and a certain herd mentality. By distributing user content within their social scope to users, it will also have a certain stimulating effect. Provide suitable track KOLs as a reference: The most difficult thing for authors in the swing period is to find their own track. Usually, at this stage, authors who have vertical track experience and can provide benefits and incentives will be provided. It can also stimulate users to convert. Punitive measures In addition, while the recommendation


system is building traffic, it will also punish and suppress traffic Afghanistan WhatsApp Number for specific users. For example, some violations of regulations, political violations, and public opinion writers. Recommendation systems generally reduce the traffic of published content and corresponding authors based on a system similar to the user's reputation rating. Usually this system requires three links: suppression standards, standard judgment, and suppression execution.  for different violation methods. The recommendation system can implement





the platform's standards based on a priori data and post-feedback data in stages such as content identification and content distribution based on this set of preset standards. The recommendation system presets a set of execution logic, such as recall, sorting, reshooting, and even comprehensive de-emphasis of filtering. Different suppression methods and standards will be implemented at different levels.