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Evaluate Retrieval Precision and Recall

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Problem

Scenario

You are reviewing a retrieval model and need to explain how to judge whether it is returning the right items for a query. The team wants a clear way to measure result quality when only some retrieved items are actually relevant.

Question

How would you evaluate precision and recall for a retrieval model?

What You Need to Measure

  • How many retrieved items are relevant
  • How many relevant items were missed
  • How metrics change at different cutoffs such as top 10 and top 50
  • Whether the retrieval set is meant for direct display or downstream ranking