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

Test your understanding with targeted questions related to the topic.

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.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

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?

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation