Watch time is one of the most important metrics that the YouTube algorithm takes into consideration when recommending videos. The algorithm uses watch time to determine the engagement and relevance of a video to the user. Here's a more detailed explanation of how watch time is calculated:
User session: Watch time is calculated based on the amount of time a user spends watching videos during a single session on the platform. A session is defined as a continuous period of time during which the user is actively watching videos on YouTube.
Video duration: Watch time is calculated based on the length of the video. For example, if a user watches a 10-minute video, that video will contribute 10 minutes to the user's total watch time.
User engagement: The algorithm takes into account the user's engagement with the video, such as clicks, comments, and likes. Videos that receive high engagement are considered to be more engaging and relevant, and they are more likely to contribute to the user's total watch time.
Viewer attention: The algorithm also takes into account the viewer's attention, such as the percentage of the video that was watched and the number of times the video was paused or skipped. Videos that are watched in full and hold the viewer's attention are considered to be more engaging, and they are more likely to contribute to the user's total watch time.
Video completions: The algorithm also considers the number of video completions, as completing a video is an indicator of high engagement and relevance. Videos that are completed by the viewer are more likely to contribute to the user's total watch time.
In conclusion, the YouTube algorithm calculates watch time by taking into account the duration of the video, user engagement, viewer attention, and video completions. Videos with high watch time are considered to be engaging and relevant, and they are more likely to be recommended to the user by the algorithm.
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