Practice Data Requirements - 11.3 | 11. Recommender Systems | Data Science Advance
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Data Requirements

11.3 - Data Requirements

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What are the three primary types of data needed for a recommender system?

💡 Hint: Think about the information that defines users and items.

Question 2 Easy

Why is item data important in recommender systems?

💡 Hint: Consider what features or characteristics describe an item.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What types of data are needed to build a recommender system?

User Data only
Item Data only
Both User and Item Data
User
Item
and Interaction Data

💡 Hint: Recall the different types discussed.

Question 2

True or False: Interaction data includes numerical ratings and clicks.

True
False

💡 Hint: Think about examples of user engagement.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Imagine a recommender system that only has user data but no item data. What issues might arise in this scenario?

💡 Hint: Consider what information is needed to make personalized suggestions.

Challenge 2 Hard

Design a strategy for addressing the cold start problem for new users in a recommender system.

💡 Hint: Think about quick ways to gain insight into user preferences.

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Reference links

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