👉 The recommendation fluid is a dynamic algorithm that adjusts the ranking and presentation of content based on user interactions, preferences, and context. It continuously learns from user feedback, such as clicks, likes, shares, and time spent on content, to refine and personalize recommendations in real-time. This fluid approach ensures that the system adapts to evolving user interests and behaviors, providing a more tailored and engaging experience. By blending historical data with current signals, the recommendation fluid enhances the relevance of suggestions, making them more aligned with individual user needs and preferences.
