How does interleaving evaluate a ranking change, and why can it beat a standard A/B test?

For search and recommendation, A/B tests can be slow and noisy because they compare different users. Interleaving compares two rankers within the same user's results and detects winners with far less traffic. Here is how.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.