Which viewer behavior metric is considered MOST valuable to streaming platforms when training their recommendation algorithms?

Major streaming platforms use sophisticated recommendation algorithms to keep viewers engaged and reduce churn. These machine learning systems analyze viewing patterns, preferences, and even time-of-day habits to suggest content that will keep subscribers on the platform. Test your knowledge about how streaming services use advanced technology to understand and predict consumer behavior!

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Complete viewing of a title (watching 100% of a show/movie)
Viewing sessions that extend beyond initial intent (starting with one show, then continuing to watch others)
High ratings given by users after watching content
Social media sharing of content by the viewer