rankScore: Rank Score

In ludovikcoba/rrecsys: Environment for Evaluating Recommender Systems

Rank Score

Description

Rank Score extends the recall metric to take the positions of correct items in a ranked list into account.

Usage

rankScore(recommendedIDX, testSetIDX, alpha)

Arguments

recommendedIDX	indices of the recommended items. Object of class numeric.
testSetIDX	indices of the items in the test set. Object of class numeric
alpha	is the ranking half life. Object of class numeric.

Details

Rank Score is defined as the ratio of the Rank Score of the correct items to best theoretical Rank Score achievable for the user:

rankscore_{p} =∑_{i\in{h}} 2^{-\frac{rank(i)-1}{α}}

rankscore_{max} = ∑_{i=1}^{|T|} 2^{-\frac{i-1}{α}}

rankscore = \frac{rankscore_p}{rankscore_{max}}

ludovikcoba/rrecsys documentation built on May 17, 2022, 2:33 a.m.