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Implement a Recommendation System for a [Content] Platform

Coding Content Curation User Engagement

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Design a personalized recommendation system for a [content] platform, leveraging user data, content metadata, and advanced algorithms to provide tailored suggestions that enhance user engagement and satisfaction.

Outline the key components, such as data collection, user profiling, content indexing, and recommendation algorithms, ensuring a robust and adaptive system that evolves with user feedback.

Propose performance metrics and a plan for continuous optimization to measure and improve the recommendation system's effectiveness over time.