RefSeer:引文推荐系统

W. Huang, Zhaohui Wu, P. Mitra, C. Lee Giles
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引用次数: 68

摘要

引文在学术传播中很重要。为了帮助研究人员在撰写论文时检查引文的完整性,我们引入了一个名为RefSeer的引文推荐系统。研究人员可以在撰写论文时使用它来查找相关作品。审稿人也可以用它来检查论文参考文献的完整性。RefSeer既提供了基于主题的全局推荐,也提供了基于引文上下文的局部推荐。通过对推荐质量的评价,我们证明了该推荐系统能够以良好的准确率和召回率推荐引文。我们也证明了我们的推荐系统是非常高效和可扩展的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RefSeer: A citation recommendation system
Citations are important in academic dissemination. To help researchers check the completeness of citations while authoring a paper, we introduce a citation recommendation system called RefSeer. Researchers can use it to find related works to cited while authoring papers. It can also be used by reviewers to check the completeness of a paper's references. RefSeer presents both topic based global recommendation and also citation-context based local recommendation. By evaluating the quality of recommendation, we show that such recommendation system can recommend citations with good precision and recall. We also show that our recommendation system is very efficient and scalable.
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