Research on Recommendation of Scientific Papers Based on Reading Value

被引:0
|
作者
Zhang Guangqian [1 ]
Liu Xin [1 ]
机构
[1] Dalian Univ Technol, Sch Management, Dalian, Peoples R China
关键词
papers ranking; PaperRank; PageRank; knowledge service; PAGERANK;
D O I
暂无
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In current scientific literature service, how to estimate the reading value of a scientific paper and then obtain the related knowledge quickly and accurately is a common requirement. In view of this common requirement, the paper provides a method named PaperRank for ranking scientific papers based on Google's PageRank, and then validates it by an experiment. PaperRank method synthetically considers those factors which reflecting the reading value of the papers such as content, journal, author and published time, and it can be used to obtain not only the ranking results of the papers, but also the recommendations of the knowledge of important authors and papers in a certain problem or field.
引用
收藏
页码:4412 / +
页数:2
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