Verified65% confidenceFactExact time
The core formula of RRF is RRF_score(d) = Σ 1 / (k + rank_i(d)), where k is a smoothing constant commonly set to 60.
3
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65%
Confidence
Long-term
Relevance
10/5/2026
First Seen
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Related Claims
UnverifiedThe RRF fusion formula is score += weight / (k + rank + 1), with k_constant set to 60, dense weight 0.7, and sparse weight 0.3.78% similarVerifiedThe Reciprocal Rank Fusion (RRF) algorithm was proposed by Cormack et al. in 2009, with a core formula of Score = Σ 1/(k + rank_i), where k typically takes the value 60 as a smoothing constant.77% similarUnverifiedWhen α0=γ (the most benign case), KRR-RF is minimax optimal for all r∈(0,1].66% similarUnverifiedReciprocal Rank Fusion (RRF) computes the final score for each document by summing the reciprocal of its rank in each ranked list plus a smoothing constant k (typically set to 60).66% similarUnverifiedPerformance within the basket diverged significantly over 7 days: KNOTS recorded +19.16%, while GABLE was −21.21% and KINS was −24.47%; across the broader Solana token set, the fluctuation range extended from STRK's +109.94% to DIME's +35.03%.60% similar
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