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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is item-to-item collaborative filtering?
💡 Hint: Think about how items relate to each other.
Question 2
Easy
Why is scalability important for Amazon's recommendation system?
💡 Hint: Consider the size of Amazon's product range.
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 type of filtering does Amazon primarily use for recommendations?
- User-based
- Item-to-item
- Content-based
💡 Hint: Focus on the relationship between items.
Question 2
Does Amazon's recommendation system change as new products are added?
- True
- False
💡 Hint: Think about the scalability of their system.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design an experiment to test the effectiveness of Amazon's recommendations compared to a generic recommendation algorithm.
💡 Hint: Think about how you'd measure users' engagement based on recommendations.
Question 2
Discuss potential ethical concerns with Amazon's recommendation systems, focusing on data privacy.
💡 Hint: Consider what users might want to know before their data is used.
Challenge and get performance evaluation