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Design Cold Start for Recommendations

HardSystem Design00:00
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Problem

Scenario

You are building a personalized recommendation system for a consumer product. The team wants a plan for two cases: launching a new model with little live feedback, and serving new users who have little or no history.

Question

How would you handle cold start for a new model or new users?

What this tests

  • Cold-start strategies for new users and new models
  • Multi-stage recommendation design
  • Feature store and training-serving consistency
  • Safe rollout and experimentation