How can you test the accuracy of a recommendation system?
Recommendation systems are a type of artificial intelligence (AI) that suggest relevant items or services to users based on their preferences, behavior, or context. They are widely used by e-commerce, streaming, social media, and other platforms to increase user engagement, satisfaction, and revenue. But how can you test the accuracy of a recommendation system? How can you measure how well it matches the users' needs and expectations? In this article, we will explore some methods and tools for testing and evaluating recommendation systems.
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Paresh PatilLinkedIn Top Data Science Voice??| 5X LinkedIn Top Voice | ML, Deep Learning & Python Expert, Data Scientist | Data…
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F. Firat Gonen, PhDChief Data Officer @ Figopara | Z by HP Global Data Science Ambassador | Kaggle Grandmaster 3X (Top 1%)