importance of this position and design a product solution that is

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Then the note will be placed in a primary traffic pool for exposure. Whether it can enter the next traffic pool depends largely on your note score. Xiaohongshu platform has a scoring standard: score = likes + collections + comments + reposts + attention. Now everyone generally recognizes this traffic distribution model system. The system that scores according to user interaction effects is. The online recommendation process of Xiaohongshu is mainly divided into three steps. What is an end product manager? What is the difference between an end product manager and an end product manager? The end product manager in the end product manager means i-business.



The end product manager must first understand the this project. In jamaica telephone code the end, the product manager... View details> The first step is to select candidate sets from the pool of notes uploaded by Xiaohongshu users every day. Various strategies are used to select thousands of candidate sets from tens of millions of notes for preliminary sorting. The second step is to score each note in the model sorting stage. According to the value brought to the platform by the likes and collections of Xiaohongshu users, a weighted evaluation system is designed.



The probability of likes, collections and comments after clicking is evaluated by estimating the user's click-through rate, and scoring is performed. The third step is to select notes with high scores before displaying them to users and adjust the diversity through various strategies. , Content marketing strategy - K content marketing combination model K content marketing combination model was launched by Xiaohongshu Inspiration Marketing, which is a core strategy combination of K (creators) high-quality content explosion + (information flow advertising) precise reach and efficiency improvement + (search advertising) to strengthen search interception. The K content marketing combination strategy follows the logic of user browsing and decision-making, which enables high-quality content to reach users more accurately, influence decisions, and convert positions.