The YouTube algorithm is designed to help viewers find videos they’re interested in, based on their viewing history, search history, and other criteria. The algorithm works by analyzing viewer data, such as the time of day when a video is watched, the length of time the video is watched, and the viewer’s geographic location. It then uses this data to recommend related videos to the viewer. The algorithm also takes into account external factors such as the video’s title, description, and tags to determine which videos to recommend. Finally, the algorithm uses machine learning to adjust its recommendations based on viewer feedback.