Practice Real-World Case Studies - 11.8 | 11. Recommender Systems | Data Science Advance
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Real-World Case Studies

11.8 - Real-World Case Studies

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions

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.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

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.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

Challenge 2 Hard

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.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.