11.6 - Evaluation of Recommender Systems
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Practice Questions
Test your understanding with targeted questions
What is the purpose of offline evaluation?
💡 Hint: Think about how past data can help inform us.
Define precision in the context of recommender systems.
💡 Hint: Consider the accuracy of the recommendations.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does precision measure?
💡 Hint: Think about how often the recommendations are correct.
True or False: Recall is concerned with how many relevant items were actually shown to users.
💡 Hint: Consider what it means by 'relevant' items.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
Create a case where offline evaluation indicates a very high precision, but the online evaluation shows a very low click-through rate. Discuss possible reasons.
💡 Hint: Reflect on how user preferences can change over time.
Using a hypothetical dataset, calculate RMSE given the following actual and predicted ratings: Actual: [5, 4, 3, 2], Predicted: [5, 3, 4, 1]. What does this RMSE say about the model’s accuracy?
💡 Hint: Consider the importance of smaller RMSE values.
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