基于概念树的论文评审专家推荐

Paper-to-Reviewer Assignment Based on Concept Tree

本文基于概念树计算论文与专家之间的相似度,然后采用基于启发式的最大相似度匹配方法将论文分配给相应的评审专家。基于概念树的相似度计算,可以充分满足主题覆盖度约束;基于启发式的最大相似度匹配算法不仅可以满足利益冲突约束,又可以满足专家工作量约束。最后实验验证了所提算法的有效性。

This paper computes the similarity between papers and reviewers based on concept tree, which is used to assign and assigns papers to appropriate reviewers based on heuristic maximum matching degree. The similarity based on concept tree can meet the constraint of topic coverage. The matching algorithm can meet the constraint of interest conflict and reviewer load balance at the same time. Finally, the experiments show verify the validity of the proposed method.