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On recommending newly published academic papers

Authors
Ha, JiwoonKwon, Soon-HyoungKim, Sang-Wook
Issue Date
Aug-2015
Publisher
Association for Computing Machinery, Inc
Keywords
Data mining; Paper recommendation; Singular value decomposition
Citation
HT 2015 - Proceedings of the 26th ACM Conference on Hypertext and Social Media, pp.329 - 330
Indexed
SCOPUS
Journal Title
HT 2015 - Proceedings of the 26th ACM Conference on Hypertext and Social Media
Start Page
329
End Page
330
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/156614
DOI
10.1145/2700171.2791047
ISSN
0000-0000
Abstract
To recommend newly-published papers that did not receive any citations yet, this paper proposes a novel method by using the authors' interest on the papers cited in the newlypublished paper. Compared to citation-network based methods, the empirical validation shows a significant improvement with our method in accuracy of 11%-41% in precision and 8%-34% in recall.
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COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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