Develop a recommendation engine that integrates both collaborative filtering and content-based filtering techniques to provide personalized recommendations to users based on their preferences and behavior. The system should also incorporate machine learning algorithms for improving accuracy and the ability to adapt to changing user preferences over time. Overall, the aim is to create an effective and efficient recommendation system that enhances user experience, increases engagement, and drives revenue for the business.
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