MediumNLPnlp-412

Reciprocal Rank Fusion Score

Problem

Reciprocal rank fusion contributes 1 / (k + rank) for a document at the given rank, where rank starts at one and k is the smoothing constant.

Given the rank and k, return the contribution.

Hint

The constant damps the influence of very high ranks.

case 1

in: [1,60]

expected: 0.01639344262295082

case 2

in: [10,60]

expected: 0.014285714285714285

case 3

in: [3,0]

expected: 0.3333333333333333

Starter codePython

def reciprocal_rank_fusion_score(rank, k):
    # Your code here
    pass

3 test cases · run your code against them in the editor