A decision support tool using Order Weighted Averaging for conference review assignment

Jennifer Nguyen, Germán Sánchez-Hernández, Núria Agell, Xari Rovira, Cecilio Angulo

Producción científica: Artículo en revista indizadaArtículorevisión exhaustiva

26 Citas (Scopus)

Resumen

Assigning papers to reviewers is a large, long and difficult task for conference chairs and scientific committees. The paper reviewer assignment problem is a multi-agent problem which requires understanding reviewer expertise and paper topics for the matching process. This paper proposes to elaborate on some features used to compute reviewer expertise and aggregate multiple factors to find the fittest combination of reviewers for each paper. Expertise information is gathered implicitly from publicly available information and a reviewer profile is generated automatically. An Ordered Weighted Averaging (OWA) aggregation function is used to summarize information coming from different sources and rank candidate reviewers for each paper. General constraints for the Reviewer Assignment Problem (RAP) have been incorporated into a real case example: (i) conflicts of interest between a reviewer and authors should be avoided, (ii) each paper must have a minimum number of reviewers, and (iii) each reviewer load cannot exceed a certain number of papers.

Idioma originalInglés
Páginas (desde-hasta)114-120
Número de páginas7
PublicaciónPattern Recognition Letters
Volumen105
DOI
EstadoPublicada - 1 abr 2018

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