Practice Real-World Case Studies - 11.8 | 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 collaborative filtering?

💡 Hint: Think about how Netflix recommends movies.

Question 2

Easy

Name one company that uses item-to-item collaborative filtering.

💡 Hint: Consider how online shopping sites suggest products.

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 Netflix primarily use?

  • Content-Based
  • Collaborative
  • Demographic

💡 Hint: Remember how your viewing habits influence what Netflix suggests!

Question 2

True or False: Amazon's recommendation system uses collaborative filtering to suggest similar items.

  • True
  • False

💡 Hint: Think about when you shop online.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a basic recommender system for an online bookstore. What factors would you consider in your recommendations?

💡 Hint: Think about user preferences and how they inform decisions.

Question 2

Analyze the effectiveness of a hybrid recommender system over a pure collaborative approach. What are the benefits and drawbacks?

💡 Hint: Consider how different data inputs impact the quality of recommendations.

Challenge and get performance evaluation