Learning experts' preferences from informetric data
conference contributionposted on 2015-01-01, 00:00 authored by Marek GagolewskiMarek Gagolewski, Jan Lasek
In the field of informetrics, agents are often represented by numeric sequences of non necessarily conforming lengths. There are numerous aggregation techniques of such sequences, e.g., the g-index, the h-index, that may be used to compare the output of pairs of agents. In this paper we address a question whether such impact indices may be used to model experts’ preferences accurately.