Practice Online Evaluation - 11.6.2 | 11. Recommender Systems | Data Science Advance
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Online Evaluation

11.6.2 - Online Evaluation

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is A/B testing?

💡 Hint: Think about how changes in a website might affect users.

Question 2 Easy

What does Click Through Rate measure?

💡 Hint: Consider user engagement with recommendations.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What method is primarily used for real-time evaluation of recommender systems?

A/B Testing
Linear Regression
Cross Validation

💡 Hint: Think about direct comparisons between two variables.

Question 2

True or False: Dwell Time measures how long users interact with recommendations.

True
False

💡 Hint: What aspect of engagement does dwell time assess?

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are developing a new recommendation algorithm for an e-commerce site. How would you structure an A/B test to evaluate its effectiveness? Consider key metrics you would use.

💡 Hint: Think about how different groups would interact with your recommendations.

Challenge 2 Hard

If the conversion rate significantly improves while dwell time decreases, what actions would you suggest for further refinements of the recommendation system?

💡 Hint: Reflect on how features of the content impact user experience.

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Reference links

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