Reciprocal rank fusion gives each document a contribution shaped like 1/(k + rank) in each result list. A document near the top of several lists accumulates more score.
It avoids aligning raw score scales. The constant k and candidate depth still affect the result, so evaluate them on real queries.
When to use
Use it to merge lists whose raw scoring scales differ.