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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