Interleaving Tests#
Online ranker comparison that blends two result lists and attributes clicks.
Important
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What it is#
Interleaving compares two rankers — say two search algorithms — by blending their result lists into one list shown to a single user, then crediting each click to whichever ranker supplied that item. The same user effectively judges both at once.
Why it’s powerful#
Because each user sees both rankers’ results (a within-user comparison), interleaving is far more sensitive than an A/B test — it reaches a reliable conclusion from far fewer interactions, so fewer users are exposed to a possibly worse ranker. Multileaving extends the idea to compare many rankers simultaneously.
Where it’s used#
Interleaving is a staple of search and recommendation evaluation and learning-to-rank, where ranking quality differences are subtle and A/B tests would need huge traffic to detect them.
Theme: Ranking & Interleaving · All terminology
Hint
Mind map — connected ideas
A/B Testing · Sequential Testing (also called sequential analysis) · Statistical Tests · Traditional A/B Test (Fixed-Horizon A/B Test) · Power Analysis · A/B/n Test
Hint
More in Ranking & Interleaving
Balanced Interleaving · DCG (Discounted Cumulative Gain) · Mean Average Precision (MAP) · NDCG (Normalized Discounted Cumulative Gain) · Probabilistic Interleaving · Ranking Algorithms · Team Draft Interleaving (TDI) · TREC (Text REtrieval Conference)
See also
Source article Adapted (context, re-expressed) in our own words from: Interleaving Tests (insightful-data-lab.com).