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On Recommending Newly Published Academic Papers

Title
On Recommending Newly Published Academic Papers
Author
김상욱
Keywords
Paper recommendation; data mining; singular value decomposition
Issue Date
2015-09
Publisher
ACM Hypertext
Citation
HT '15 Proceedings of the 26th ACM Conference on Hypertext & Social Media, Page. 329-330
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.
URI
http://dl.acm.org/citation.cfm?id=2791047http://hdl.handle.net/20.500.11754/27712
ISBN
978-1-4503-3395-5
DOI
10.1145/2700171.2791047
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학부) > Articles
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