Myth: AI powers Netflix's ability to curate a perfect list of recommended shows and movies that you actually want to watch.
Reality: While AI does play a significant role in content recommendation, it's not as straightforward as matching individual viewer preferences with content. In reality, Netflix uses a combination of collaborative filtering, content-based filtering, and knowledge-based systems to deliver personalized recommendations.
Collaborative filtering analyzes viewing habits of similar users to suggest content, content-based filtering focuses on attributes of the content itself, such as genres and directors, and knowledge-based systems incorporate domain knowledge about genres, directors, and other metadata to make informed decisions.
What's more, human curation plays a crucial role in evaluating and refining AI-driven recommendations, incorporating factors like cultural context and social relevance. This hybrid approach ensures that AI recommendations are both data-driven and context-aware, making them more accurate and engaging for users.
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