Pairwise comparison based ranking and scoring algorithms

Ulf A. Hamster
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Ulf A. Hamster: Berlin-Brandenburgischen Akademie der Wissenschaften

No ev7fw, OSF Preprints from Center for Open Science

Abstract: The task is to convert a large sparse matrix of unbalanced paired comparison vote counts to scores for each item. Five procedures are presented and benchmarked. It is recommended to use the BTL algorithm for full batch computations (e.g. one-time quantitative studies), and the proposed p-value based procedure when scores must be partially updated in production deployments.

Date: 2021-04-01
New Economics Papers: this item is included in nep-ore
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:ev7fw

DOI: 10.31219/osf.io/ev7fw

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