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Design a Cold Start Ranker

MediumSystem Design00:00
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Problem

Scenario

You are building a recommendation feed for a consumer app. The system works well for active users and established content, but new users and newly created items have little or no interaction history, so ranking quality drops early in their lifecycle.

Question

How would you handle the cold start problem in a recommendation or ranking system?

What this tests

  • Cold start for both users and items
  • Retrieval, ranking, and re-ranking design
  • Feature store and online versus batch features
  • Experimentation and cohort-based evaluation