Читать книгу The YouTube Formula - Derral Eves - Страница 23

YouTube collects 80 billion data points from user behavior every single day. They gather data in two key areas in order to achieve the goals of the AI. The first area it observes is user behavior via metadata. It determines things about a video based on the behavior of the person whose eyes are on the screen and whose fingers are doing the clicking. “Satisfaction signals” train the AI what to suggest or not. There is a very specific list of these signals:

 Which videos a user watches

 Which videos they skip

 Time they spend watching

 Likes and dislikes

 “Not interested” feedback

 Surveys after watching a video

 Whether they come back to rewatch or finish something unwatched

 If they save and come back to watch later

All of these signals feed the Satisfaction Feedback Loop. This loop is created based on the feedback the algorithm is getting from your specific behavior. It “loops” the types of videos you like through its suggestions. This is how it personalizes each user's experience.