Practice Offline Evaluation - 11.6.1 | 11. Recommender Systems | Data Science Advance
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Offline Evaluation

11.6.1 - Offline Evaluation

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the purpose of offline evaluation in recommender systems?

💡 Hint: Consider how we test algorithms without live data.

Question 2 Easy

Define precision in the context of recommender systems.

💡 Hint: Think about how many of your recommendations were liked.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main purpose of offline evaluation?

To gather live user feedback
To simulate performance with historical data
To collect new interaction data

💡 Hint: Think about how we can check the system before it is live.

Question 2

True or False: Recall measures how many actual relevant items were recommended.

True
False

💡 Hint: Recall captures the successes in finding relevant recommendations.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a recommendation system that suggested 20 items, with 10 being relevant and only 6 being recommended correctly, calculate precision and recall.

💡 Hint: Use the formulas to find these metrics.

Challenge 2 Hard

Discuss how varying the threshold for recommendations can impact precision and recall.

💡 Hint: Think of how a tighter or looser net catches more or fewer fish.

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Reference links

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