TOOCHITECH

How does the YouTube algorithm recommend videos across search, home, and suggested feeds? The YouTube algorithm does not push videos randomly—it selects content based on viewer behavior, search intent, watch history, and session patterns. Each traffic source has its own ranking system with different signals. This guide breaks down how videos get recommended on Search, Home, and Suggested feeds, and the metrics that determine which creators grow faster. 📌 Understanding how YouTube decides what to recommend YouTube’s recommendation system is built to maximize viewer satisfaction, not just views. This means it prioritizes videos that: Match the viewer’s current interest Keep viewers watching longer sessions Lead to repeat engagement, not one-time clicks Generate high interaction signals (likes, comments, watch time) YouTube’s goal: maximize watch time across the entire p...