Choosing a publication venue for an academic paper is a crucial step in the research process. However, in many cases, decisions are based solely on the experience of researchers, which often leads to suboptimal results. Although there exist venue recommender systems for academic papers, they recommend venues where the paper is expected to be published. In this study, we aim to recommend publication venues from a different perspective. We estimate the number of citations a paper will receive if the paper is published in each venue and recommend the venue where the paper has the most potential impact. However, there are two challenges to this task. First, a paper is published in only one venue, and thus, we cannot observe the number of citations the paper would receive if the paper were published in another venue. Secondly, the contents of a paper and the publication venue are not statistically independent; that is, there exist selection biases in choosing publication venues. In this paper, we formulate the venue recommendation problem as a treatment effect estimation problem. We use a bias correction method to estimate the potential impact of choosing a publication venue effectively and to recommend venues based on the potential impact of papers in each venue. We highlight the effectiveness of our method using paper data from computer science conferences.
翻译:学术论文的出版地点是研究过程中的一个关键步骤,然而,在许多情况下,决定完全以研究人员的经验为基础,往往导致低于最佳结果。虽然有学术论文的地点建议系统,但它们建议了预期发表论文的地点;在这项研究中,我们打算从不同的角度建议出版地点;我们估计每份文件在每个地点出版时收到的文件引用次数,并建议文件最有可能产生影响的地点。然而,这项任务有两个挑战。首先,只在一个地点出版一份文件,因此,如果该文件在另一个地点出版,我们无法观察文件收到的引用次数。第二,文件的内容和出版地点在统计上不独立;也就是说,在选择出版地点时存在选择偏差。在这份文件中,我们把地点建议问题描述为治疗效果估计问题。我们使用一种纠正偏见的方法来估计有效选择出版地点的潜在影响,并根据文件在每一个地点的潜在影响建议地点。我们强调我们使用计算机会议文件数据的方法的有效性。