For a recommendation system in an e-commerce platform, which machine learning technique would be most effective?

  • Collaborative Filtering
  • Decision Trees
  • Linear Regression
  • Naive Bayes
Collaborative filtering is commonly used in recommendation systems as it leverages user behavior and preferences to make personalized recommendations. Decision trees, linear regression, and Naive Bayes are not as well-suited for this task as they do not inherently capture user-item interactions for recommendations.
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