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You are a data scientist working for an e-commerce company that wants to implement personalized product recommendations for its users. The company has a large dataset of user interactions, including clicks, purchases, and reviews. The goal is to create a recommendation system that can scale to millions of users while providing real-time recommendations based on user behavior. You need to choose the most appropriate built-in algorithm in Amazon SageMaker to achieve this goal. Given the requirements, which of the following Amazon SageMaker built-in algorithms is the MOST SUITABLE for this use case?