A project team is developing a recommendation system that suggests products to users based on the purchasing patterns of similar customers. Which machine learning approach best describes this scenario?

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Collaborative filtering. Collaborative filtering is a technique used in recommendation systems that identifies patterns in user behavior and preferences by finding similarities between users (user-based) or items (item-based) to make recommendations.

A project team is developing a recommendation system that suggests products to users based on the purchasing patterns of similar customers. Which machine learning approach best describes this scenario?

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