Guang Zhou Ri Bao·2025-05-20 14:23Core Insights - Kuaishou has launched new algorithm recommendation optimization features aimed at enhancing user experience and preventing "information cocoons" [2] Group 1: New Features - The platform has introduced two personalized recommendation optimization features: "Information Cocoon Self-Assessment" and "One-Click Breakthrough" [2] - The "Information Cocoon Self-Assessment" allows users to visualize the distribution of content types, preferences, and recommendation intensity on their recommendation page [2] - The "One-Click Breakthrough" feature enables users to adjust the types of recommended content, interest tags, and push intensity based on their preferences [2] Group 2: User Control - Users can access these features by navigating to the "Content Preference" module in the app, where they can view their interest tag distribution and content type [2] - After assessment, users can choose to maintain their current personalized recommendations or add more content type tags to their recommendation page [2] - Users have the option to turn off personalized recommendations entirely if they find the content uninteresting by adjusting settings in the app [3]