An iterative rating method: application to web-based conference management
Proceedings of the 2004 ACM symposium on Applied computing
ACO-GA approach to paper-reviewer assignment problem in CMS
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part II
Intelligent methodologies for scientific conference management
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Automatic topics identification for reviewer assignment
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
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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.