| 李琳娜.基于概念树的论文评审专家推荐[J].情报工程,2016,2(1):059-065 |
| 基于概念树的论文评审专家推荐 |
| Paper-to-Reviewer Assignment Based on Concept Tree |
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| DOI：10.3772/j.issn.2095-915X.2016.01.008 |
| 中文关键词: 概念树，评审专家，评审专家推荐，利益冲突，主题覆盖度 |
| 英文关键词: Concept tree, reviewer, paper-to-reviewer assignment, interest conflict, topic coverage |
| 基金项目:中国科学技术信息研究所科研项目预研基金：“基于隐语义模型和文档结构的文档关键词自动抽取”（项目编号： YY2015-14）。 |
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| 全文下载次数: 1976 |
| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
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