Experimentation
Interleaving
Mixing results from two rankers into one list and attributing clicks back to the contributing system.
Why interviewers ask about it
Removes between-user variance, needing 10–100× less traffic than a conventional A/B for ranking comparisons. A strong thing to name in search/RecSys interviews.
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