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An automated conflict of interest based greedy approach for conference paper assignment system
Journal of Informetrics ( IF 3.4 ) Pub Date : 2020-03-30 , DOI: 10.1016/j.joi.2020.101022
Dinesh K. Pradhan , Joyita Chakraborty , Prasenjit Choudhary , Subrata Nandi

Reviewer Assignment Problem (RAP) is a crucial problem for the conference due to time constraints and inadequate availability of expert reviewers. A fair evaluation of paper is key to an author's success, paper quality, conference reputation, and productive usage of funds. Recent studies reflect on the issue of reviewer bias in bids favoring authors belonging to the top institution and higher authority. Existing Conference Management Systems (CMS) are solely dependent upon self-declared Conflict of Interest (CoI) made by the authors, and reviewers. In literature, existing studies considers topic similarity, potential CoI, and reviewer's workload as trivial factors for ensuring review quality. Other factors include the diversity and authority of a reviewer. Past studies propose several theoretical optimization models. In this paper, we first individually model the factors using the best possible strategy in a constrained-based optimization framework. We tried to propose a completely novel framework that can be practically implemented to improve upon the performance of existing CMS. We map the RAP to an equilibrium multi-job assignment problem. Moreover, we propose a meta-heuristic greedy solution to solve it using weighted matrix factorization. We re-define an assignment quality metric required to validate such assignments. A real conference assignment data set collected from EasyChair is used for a comparative study. The TPMS is used as a baseline because it also uses similar factors, and due to its integration with widely used Microsoft CMS. The results show that the mean assignment quality of the proposed method is superior to other benchmark RAP systems.



中文翻译:

基于自动利益冲突的会议论文分配系统的贪婪方法

由于时间限制和专家审阅者的不足,审阅者分配问题(RAP)是会议的关键问题。对论文的公正评估对于作者的成功,论文质量,会议声誉和生产性使用资金至关重要。最近的研究反映了审稿人偏爱标书的问题,这些标书偏向于属于最高机构和更高权威的作者。现有的会议管理系统(CMS)仅取决于作者和审阅者自行声明的利益冲突(CoI)。在文献中,现有研究认为主题相似性潜在CoI评论者的工作量是确保评论质量的重要因素。其他因素包括多样性权威评论者 过去的研究提出了几种理论上的优化模型。在本文中,我们首先在基于约束的优化框架中使用最佳策略对各个因素进行建模。我们试图提出一个全新的框架,该框架可以实际实施以改善现有CMS的性能。我们将RAP映射到均衡的多任务分配问题。此外,我们提出了一种元启发式贪婪解决方案,以使用加权矩阵分解来解决它。我们重新定义了验证此类作业所需的作业质量指标。从EasyChair收集的实际会议分配数据集用于比较研究。TPMS之所以用作基准,是因为它也使用了类似的因素,并且由于它与广泛使用的Microsoft CMS集成在一起。

更新日期:2020-03-30
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