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PRIMA
2015
Springer

Collaborative Judgement

4 years 5 months ago
Collaborative Judgement
In this paper we introduce a new ranking algorithm, called Collaborative Judgement (CJ), that takes into account peer opinions of agents and/or humans on objects (e.g. products, exams, papers) as well as peer judgements over those opinions. The combination of these two types of information has not been studied in previous work in order to produce object rankings. We apply CJ to the use case of scientific paper assessment and we validate it over simulated data. The results show that the rankings produced by our algorithm improve current scientific paper ranking practice based on averages of opinions weighted by their reviewers’ self-assessments.
Ewa Andrejczuk, Juan Antonio Rodríguez-Agui
Added 16 Apr 2016
Updated 16 Apr 2016
Type Journal
Year 2015
Where PRIMA
Authors Ewa Andrejczuk, Juan Antonio Rodríguez-Aguilar, Carles Sierra
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