Netflix utilizes a sophisticated system to capture and analyze impressions—images or banners that represent content—transforming user interactions into personalized recommendations. This multi-part blog outlines how Netflix tracks billions of impressions each day and addresses the challenges faced. By maintaining impression history, Netflix enhances content personalization, implements frequency capping to prevent redundancy, and highlights new releases based on user engagement, ensuring a dynamic and tailored viewing experience for all users.
At Netflix, we refer to these images as 'impressions,' integral to personalizing the user experience by transforming simple browsing into tailored content suggestions.
The complex integration of data allows us to track impressions, creating a detailed history that empowers our recommendations and enhances personalized experiences.
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