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2014 IEEE/ACM Joint Conference on Digital Libraries (JCDL) (2014)
London, United Kingdom
Sept. 8, 2014 to Sept. 12, 2014
ISBN: 978-1-4799-5569-5
pp: 371-374
Wenyi Huang , Information Sciences and Technology, The Pennsylvania State University, University Park, 16802, USA
Zhaohui Wu , Information Sciences and Technology, The Pennsylvania State University, University Park, 16802, USA
Prasenjit Mitra , Information Sciences and Technology, The Pennsylvania State University, University Park, 16802, USA
C. Lee Giles , Information Sciences and Technology, The Pennsylvania State University, University Park, 16802, USA
ABSTRACT
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.
INDEX TERMS
Context, Computational modeling, Training, Complexity theory, Context modeling, Bibliographies, Search engines
CITATION

W. Huang, Zhaohui Wu, P. Mitra and C. L. Giles, "RefSeer: A citation recommendation system," 2014 IEEE/ACM Joint Conference on Digital Libraries (JCDL), London, United Kingdom, 2014, pp. 371-374.
doi:10.1109/JCDL.2014.6970192
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