基于引用内容的引文检索与推荐系统

被引：10

作者：

刘盛博

丁堃

刘则渊

机构：

[1] 大连理工大学WISELab

来源：

情报学报 | 2013年 / 32卷 / 11期

关键词：

引用内容; 引文推荐; 引文检索;

D O I：

暂无

中图分类号：

G354 [情报检索];

学科分类号：

1205 ;

摘要：

参考文献的引用内容可以提供这篇参考文献被引用的详细信息,包括这篇参考文献为什么被引用,在哪些方面被引用以及具体的引用价值。同时参考文献的引用内容也可以为引文检索与推荐提供重要的信息。本文基于PubMed Central全文数据库,设计了一个基于引用内容的引文检索与推荐系统。此检索系统完全基于参考文献的引用内容信息。研究结果发现,此系统具有很好的引文检索与推荐效果,尤其在高被引文献和领域经典文献推荐方面,表现出精确的检索性能。

引用

页码：1157 / 1163

页数：7

共 25 条

[1] The proximity of co-citation [J].

Liu, Shengbo ;

Chen, Chaomei .

SCIENTOMETRICS, 2012, 91 (02) :495-511

[2]

Biomedical Language Processing: What’s Beyond PubMed?[J] . Lawrence Hunter,K. Bretonnel Cohen. &nbspMolecular Cell . 2006 (5)

[3]

Reference directed indexing:Redeeming relevance for subject search in citation indexes. Bradshaw S. Proceedings of the 7th European Conference on Digital Libraries . 2003

[4]

Co-citation in the scientific literature: a new measure of the relationship between two documents. Small H. Journal of the American Society for Information Science . 1973

[5]

Term and citation retrieval: A field study. Miranda Lee Pao. Information Processing Letters . 1993

[6] Evaluations of context-based co-citation searching [J].

Eto, Masaki .

SCIENTOMETRICS, 2013, 94 (02) :651-673

[7]

Generating Impact-based Summaries for Scientific Literature. Mei Q,Zhai C. Proceedings of ACL-08 . 2008

[8] Improving the accuracy of co-citation clustering using full text [J].

Boyack, Kevin W. ;

Small, Henry ;

Klavans, Richard .

JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2013, 64 (09) :1759-1767

[9]

Identifying related Documents for Research Paper Recommender by CPA and COA. Bela Gipp,Joran Beel. Lecture Notes in Engineering and Computer Science . 2009

[10]

Automatic detection of survey articles. Nanba H,Okumura M. The Research and Advanced Technology for Digital Libraries . 2005

← 1 2 3 →