Problem
Scenario
You are building a recommendation system for a digital platform with personalized feeds and item suggestions. The system works well for active users and established items, but it struggles when a new user arrives or a new item is added with little or no interaction history.
Question
How would you handle cold start for a new user or item in a recommendation system?
What this tests
- Cold-start handling for both users and items
- Retrieval, ranking, and re-ranking design choices
- Feature store and side-information usage
- Monitoring for drift and training-serving skew
Practicing as: Software Engineer interview at Llc.Hi, I'll play your Llc. interviewer for the Software Engineer role. Candidates describe these interviews as mostly positive and moderately difficult, so expect me to be friendly and conversational. Take your time with the question above and answer like we're in the room.
You are practicing as a guest. Sign up free to get your answer graded with AI feedback. Your draft stays right here.
