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SimCS: An Effective Method to Compute Similarity of Scientific Papers Based on Contribution Scores

Title
SimCS: An Effective Method to Compute Similarity of Scientific Papers Based on Contribution Scores
Author
김상욱
Keywords
author dominance; citations; content; contribution score; scientific papers
Issue Date
2015-12
Publisher
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
Citation
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, v. E98D, NO 12, Page. 2328-2332
Abstract
In this paper, we propose SimCS (similarity based on contribution scores) to compute the similarity of scientific papers. For similarity computation, we exploit a notion of a contribution score that indicates how much a paper contributes to another paper citing it. Also, we consider the author dominance of papers in computing contribution scores. We perform extensive experiments with a real-world dataset to show the superiority of SimCS. In comparison with SimCC, the-state-of-the-art method, SimCS not only requires no extra parameter tuning but also shows higher accuracy in similarity computation.
URI
https://www.jstage.jst.go.jp/article/transinf/E98.D/12/E98.D_2015EDL8131/_articlehttp://hdl.handle.net/20.500.11754/30199
ISSN
1745-1361
DOI
10.1587/transinf.2015EDL8131
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학부) > Articles
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