Abstract
This paper describes GRAPE, an expert component for a scientific Conference Management System (CMS), to automatically assign reviewers to papers, one of the most difficult processes of conference management. In the current practice, this is typically done by a manual and time-consuming procedure, with a risk of bad quality results due to the many aspects and parameters to be taken into account, and on their interrelationships and (often contrasting) requirements. The proposed rule-based system was evaluated on real conference datasets obtaining good results when compared to the handmade ones, both in terms of quality of the assignments, and of reduction in execution time.
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© 2005 Springer-Verlag Berlin Heidelberg
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Di Mauro, N., Basile, T.M.A., Ferilli, S. (2005). GRAPE: An Expert Review Assignment Component for Scientific Conference Management Systems. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_109
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DOI: https://doi.org/10.1007/11504894_109
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26551-1
Online ISBN: 978-3-540-31893-4
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