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Top 30 Recommendation Systems Interview Questions
Entry Junior Mid Senior Expert
Recommendation Systems Theoretical Questions
Q1:
What are Recommendation Systems?
Entry
Q2:
What is the difference between Collaborative and Content based Recommender Systems?
Junior
Q3:
What are some applications of Recommender Systems?
Junior
Q4:
How are Knowledge-based Recommender Systems different from Collaborative and Content-based Recommender Systems?
Junior
Junior
Q6:
What is a Model-Based Collaborative approach?
Junior
Q7:
What are some Domain-Specific Challenges in Recommender Systems?
Junior
Q8:
What is the importance of Multi-Armed Bandit Methods for Computational Advertising?
Mid Q9:
What are the differences between Computational Advertising and Recommender Systems?
Mid Q10:
How do you maintain User Privacy when collecting Data for Recommendation Systems?
Mid Q11:
What is the difference between Constraint-based Recommender Systems and Case-based Recommender Systems?
Mid Q12:
What are the different methods that you can collect User Data for the Recommendation Process?
Mid Mid Q14:
What are some advantages of using Neighborhood-based approaches for Recommender Systems?
Mid Q15:
What are the different types of Memory-Based Collaborative approaches?
Mid Mid Q17:
What is the basic structure of a Content-Based Recommender System?
Mid Q18:
What is the difference between Personalization Systems, User-Adaptive Systems, and Recommender Systems?
Mid Q19:
What are some advantages of Content-Based Recommendation paradigm over Collaborative-Based Recommendation?
Mid Q20:
How do you choose between User-Based and Item-Based Neighborhood Recommender System?
Mid Q21:
How does the Neighborhood-based Recommendation work?
Mid Q22:
Related To: Bias & Variance
What are the differences between Content-Based and Collaborative Methods in terms of Bias and Variance?
Related To: Bias & Variance Senior Q23:
What is the difference between Factorisation Machines and Matrix Factorisation?
Senior Q24:
How can SVD be used in Collaborative Filtering in Theory?
Senior Q25:
What is the difference between Item-Item Collaborative Filtering and Market Basket Analysis?
Senior Q26:
What is the difference between Collaborative Quality Filtering and Collaborative Filtering?
Senior Q27:
How should Recommender Systems work in a Changing Environment?
Senior Q28:
What algorithm does Google News Personalisation Engine use?
Senior Q29:
Can SVD work for Recommender Systems?
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