加强共同作者发表记录的学术推荐

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引用次数: 0

摘要

在本章中,作者通过从第一作者的发表记录中推荐类似的论文来研究论文推荐的可行性。虽然有许多推荐学术论文的方法,但他们没有考虑根据共同作者的发表记录来理智地推荐论文。因此,他们有动机通过推荐基于文本参考与视觉特征相似性的学术论文来弥补这一缺点,这种相似性考虑了一个人的出版记录的文本片段与其任何视觉特征(即表格和数字)的相似性。根据评估结果,所提出的增强将提高平均精度、召回率,并相应地提高f -测度。此外,它还增加了相关文件在返回文件列表中的位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing Academic Recommendation Regarding Common Coauthors' Publication Records
In this chapter, the authors investigated the feasibility of any improvement in paper recommendation by recommending similar papers to an input paper from the publication record of the first author. Although there are numerous approaches for recommending academic papers, they did not consider intellectually recommending papers based on the publication record of common coauthors. Consequently, they are motivated to introduce a remedy for this shortcoming by recommending scholarly papers based on similarity of textual references to visual features which considers the similarity of text fragments of one's publication record to any of their visual features (i.e., tables and figures). Based on the results of evaluation, the proposed enhancement will increase the mean precision, recall, and accordingly, the F-measure. In addition, it increases the position of the relevant papers in the returned list of documents.
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