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Recommendation Systems

Top 25 Recommendation Systems Interview Questions

25 answered questions · ~38 min read · Updated May 2026

25Total25Senior25Theory21Free

◆ Theory

Theoretical questions

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Q1:

What is real-time feature store in recommendation systems?Open full answer

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Q2:

What is bias-variance tradeoff in recommendation systems?Open full answer

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Q3:

What is cold start mitigation using embeddings?Open full answer

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Q4:

What is scalability challenge in recommendation systems?Open full answer

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Q5:

What is reinforcement learning exploration strategy?Open full answer

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Q6:

What is reinforcement learning in recommendation systems?Open full answer

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Q7:

What is serendipity in recommendation systems?Open full answer

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Q8:

What is novelty in recommendation systems?Open full answer

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Q9:

What is diversity in recommendation systems?Open full answer

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Q10:

What is exposure bias in recommendation systems?Open full answer

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Q11:

What is popularity bias in recommendation systems?Open full answer

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Q12:

What is A/B testing in recommendation systems?Open full answer

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Q13:

What is explainability in recommendation systems?Open full answer

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Q14:

What is attention mechanism in recommendation systems?Open full answer

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Q15:

What is deep learning in recommendation systems?Open full answer

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Q16:

What is sequence modeling in recommendation systems?Open full answer

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Q17:

What is session-based recommendation?Open full answer

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Q18:

What is real-time recommendation system architecture?Open full answer

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Q19:

What is feature engineering in recommendation systems?Open full answer

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Q20:

What is learning-to-rank in recommender systems?Open full answer

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Q21:

What is a ranking model in recommendation systems?Open full answer

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Q22:

What is bias in recommendation systems?Open full answer

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Q23:

What is approximate nearest neighbor (ANN) search?Open full answer

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Q24:

What is candidate generation in large-scale recommender systems?Open full answer

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Q25:

What is two-tower model in recommendation systems?Open full answer

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