Content Recommendation Engine
A medium SQL interview practice problem on DataDriven. Write and execute real sql code with instant grading.
- Domain
- SQL
- Difficulty
- medium
- Seniority
- L5
Problem
For each user, find content items they haven't viewed but at least one of their chat contacts (from chat_msgs) has viewed. Return the user ID and the recommended content ID.
Summary
Pages they haven't discovered yet.
Practice This Problem
Solve this SQL problem with real code execution. DataDriven runs your SQL queries against a real database and grades it automatically.