The article discusses how Netflix uses 'impressions'—the visual representations of content that users encounter—to drive personalized viewing experiences. It emphasizes the importance of tracking user exposure history to improve content recommendations and implement frequency capping, thus avoiding repetitive suggestions. Moreover, the article highlights the role of impressions in gauging user interactions with new releases, allowing Netflix to strategically position content to capture audience interest. Overall, Netflix's approach combines advanced technology with user data to foster an engaging and tailored viewing experience.
Each image you hover over isn't just a visual placeholder; it's a critical data point that fuels our sophisticated personalization engine.
Having impression history helps us achieve this by allowing us to identify content that has been displayed on the homepage but not engaged with.
By maintaining a history of impressions, we can implement frequency capping to prevent over-exposure to the same content.
We can experiment with different content placements or promotional strategies, ensuring that new content receives the attention it deserves.
Collection
[
|
...
]