Netflix leverages user interaction data, referred to as 'impressions,' to create a tailored binge-watching experience. The tracking of these impressions allows Netflix to maintain a detailed history of what content users have encountered, enabling better recommendations and avoiding overexposure through frequency capping. This sophisticated system processes billions of impressions daily, enhancing user engagement by highlighting new releases based on previous interactions. The multi-part blog series will delve into the challenges faced in implementing this technology and the underlying solutions that allow for a vibrant viewing experience.
Capturing these moments and turning them into a personalized journey is no simple feat. It requires a state-of-the-art system that can track and process these impressions.
By maintaining a history of impressions, we can implement frequency capping to prevent over-exposure to the same content, ensuring users aren't repeatedly shown identical options.
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