11 - Recommender Systems
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Practice Questions
Test your understanding with targeted questions
What is a recommender system?
💡 Hint: Think about how platforms like Netflix suggest shows.
What does cold start mean in recommender systems?
💡 Hint: Consider why it might be hard to recommend something to someone new.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is a recommender system?
💡 Hint: Think about a situation where suggestions are made to you.
Is collaborative filtering reliant on item features?
💡 Hint: Recall how it identifies user preferences.
3 more questions available
Challenge Problems
Push your limits with advanced challenges
Design a recommender system for a new food delivery app. How would you address both cold start and sparsity issues?
💡 Hint: Consider how initial user input could guide future recommendations.
Develop an algorithm that utilizes matrix factorization for a recommender system. Explain how your algorithm will improve recommendations.
💡 Hint: Think about how you can translate user-item interactions into latent features.
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