Automatic review assignment can significantly improve the productivity of many people such as conference organizers, journal editors and grant administrators. A general setup of the review assignment problem involves assigning a set of reviewers on a committee to a set of documents to be reviewed under the constraint of review quota so that the reviewers assigned to a document can collectively cover multiple topic aspects of the document. No previous work has addressed such a setup of committee review assignments while also considering matching multiple aspects of topics and expertise. In this paper, we tackle the problem of committee review assignment with multi-aspect expertise matching by casting it as an integer linear programming problem. The proposed algorithm can naturally accommodate any probabilistic or deterministic method for modeling multiple aspects to automate committee review assignments. Evaluation using a multi-aspect review assignment test set constructed using ACM SIGIR publications shows that the proposed algorithm is effective and efficient for committee review assignments based on multi-aspect expertise matching.

中文翻译：

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受约束的多方面委员会审查任务的整数线性规划。

自动审阅分配可以显着提高许多人的工作效率，例如会议组织者、期刊编辑和拨款管理员。审查分配问题的一般设置涉及在审查配额的约束下为一组要审查的文件分配一个委员会的一组审查员，以便分配给一个文件的审查员可以共同涵盖该文件的多个主题方面。之前的工作都没有解决委员会审查任务的这种设置，同时还考虑匹配主题和专业知识的多个方面。在本文中，我们通过将其转换为整数线性规划问题来解决具有多方面专业知识匹配的委员会审查分配问题。所提出的算法可以自然地适应任何概率或确定性方法，用于对多个方面进行建模以自动化委员会审查分配。使用使用 ACM SIGIR 出版物构建的多方面审查分配测试集的评估表明，所提出的算法对于基于多方面专业知识匹配的委员会审查分配是有效和高效的。