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Netflix, founded in 1997, transitioned from a DVD rental service to the largest subscription-based streaming service with 167.1 million global subscribers. Its recommendation system, crucial for user engagement and retention, relies on both explicit and implicit data to provide personalized content suggestions, influencing 80% of streamed hours. Despite its success, concerns about transparency and potential biases in the recommendation algorithms persist.

Author

Lizix

Language

EN