RATE: A Review of Reviewers in a Manuscript Review Process
Abstract
In this paper, we propose a novel approach called, Reviewers Authority Testing and Evaluation (RATE), to improve the effectiveness of a manuscript review process. In the proposed RATE approach, we define a RATE model to express a manuscript review process mathematically. We then design a RATE algorithm to rank the authority of each reviewer in the RATE model and consequently calculate the quality score for each manuscript. The experimental results demonstrate that the performance of the RATE algorithm is superior to existing approaches. Furthermore, the experiments on testing algorithm's parameter settings also demonstrate that the proposed RATE algorithm behaves effectively and stably.
Authors: Wei Wei, Kam Tong Chan, Irwin King, Jimmy H. M. Lee
Published in: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (2008)