YouTube assesses a video's relevance through a comprehensive analysis of various factors tied to the viewer's preferences. This process involves: Viewer's Past Behavior: YouTube looks at what videos the viewer has previously watched, recognizing their interests. Search History: It considers the viewer's past search queries, providing insight into their preferences. Interaction with Similar Content: The algorithm examines how the viewer has engaged with content similar to the video in question. By aligning with these factors, a video can earn a higher relevance score, which directly impacts its chances of being recommended to the viewer. In essence, YouTube's algorithm strives to connect viewers with content that best matches their interests and viewing history, enhancing their overall experience on the platform.