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Publication Venue Based Language Modeling for Expert Finding

机译:基于出版物场地的语言建模,供专家查找

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摘要

Expert finding is hot topic discussed in co-author networks. Traditional language models only compares query terms with the documents of candidate for expert finding and ignores venues (conferences or journals) in which the paper is published, hi this paper we propose novel influence language models which consider the importance of venues in which the papers of candidates are published. If the paper is published in a high level venue and another is published in a low level venue then these two papers should not have same weight-age for finding experts. The paper which is published in high level venue is more valuable than the paper which is published in low level venue. Experimental results show that our proposed models outperform the existing models.
机译:专家发现是合著者网络中讨论的热门话题。传统语言模型仅将查询词与候选者的文档进行比较以供专家寻找,而忽略了发表论文的场所(会议或期刊)。在本文中,我们提出了一种新颖的影响力语言模型,该模型考虑了论文发表场所的重要性。候选人被公布。如果论文在高层场所发表而另一篇在低层场所发表,那么这两篇论文对于寻找专家的权重应不相同。在高级别场所发表的论文比在低级别场所发表的论文更有价值。实验结果表明,我们提出的模型优于现有模型。

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