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. mechanism. Overview In summary, a good content community can use the
recommendation system to enable authors at different stages Should product managers choose Afghanistan WhatsApp Number to obtain corresponding value at their corresponding stages, so that the entire community can continuously have new authors come in, and can also eliminate inferior authors, and can As a strategic product, we need to constantly dig out the leading authors from a large number of authors to guide the content topics or community tone of the entire community. As a strategic product, we need to constantly explore corresponding scenarios and design corresponding strategies. Although models
can solve many problems, as the entire ecological business, social environment, and national orientation continue to develop, how to model human thoughts and thinking and express them through algorithms is the core of strategic products. value. In the next article, I will talk about the UGC content community, and the recommendation system should do things - Content Part . This article will describe more systematically how the recommendation system interacts with the content in UGC content. This article was originally published by @strategyproductazheng on Everyone is a product manager. Reprinting wit
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