Expert suggestion for conference program committees

Hong Diep Tran, G. Cabanac, G. Hubert
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引用次数: 25

Abstract

With the rapid development of science, the academic community requires higher and higher quality of the published articles. This great responsibility is placed on editorial boards of journals, on program committees of conferences and their members. In addition, with a large number of scientific conferences held each year, searching for experts that would be invited to join the program committees is an increasingly hard task. In this paper, we propose an expert modelling method on different indicators of expertise, in particular on citation networks in order to build suggestions of members for program committees of conferences. Contrary to most of the works about expert search in the literature which are based on textual sources of evidence to define the expertise of an expert candidate, our model leverages non-textual indicators only. We evaluate the proximity of an expert candidate according to the weights of his/her various relations with the conference for which the candidate is proposed to be member of the next program committee. We report various experiments in the context of the SIGIR conference editions. These experiments give hints on the composition of program committees and on the effectiveness of our approach.
为会议计划委员会提供专家建议
随着科学的飞速发展,学术界对发表文章的质量要求越来越高。期刊的编辑委员会、会议的计划委员会及其成员肩负着这项重大责任。此外,随着每年召开大量的科学会议,寻找能够被邀请加入项目委员会的专家是一项越来越困难的任务。在本文中,我们提出了一种针对不同专业知识指标的专家建模方法,特别是在引文网络上,以便为会议计划委员会建立成员的建议。与文献中大多数基于文本证据来源来定义专家候选人专业知识的专家搜索工作相反,我们的模型仅利用非文本指标。我们根据他/她与会议的各种关系的权重来评估专家候选人的接近性,候选人被提议成为下一个项目委员会的成员。我们在SIGIR会议版本的背景下报告各种实验。这些实验对项目委员会的组成和我们方法的有效性提供了提示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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