IEICE TRANSACTIONS on Information
SimCS: An Effective Method to Compute Similarity of Scientific Papers Based on Contribution Scores
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E98-D No.12 pp.2328-2332
- Publication Date
- 2015/12/01
- Publicized
- 2015/09/14
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.2015EDL8131
- Type of Manuscript
- LETTER
- Category
- Data Engineering, Web Information Systems
Authors
Masoud REYHANI HAMEDANI
Hanyang University
Sang-Wook KIM
Hanyang University
Keyword
Latest Issue
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Masoud REYHANI HAMEDANI, Sang-Wook KIM, "SimCS: An Effective Method to Compute Similarity of Scientific Papers Based on Contribution Scores" in IEICE TRANSACTIONS on Information,
vol. E98-D, no. 12, pp. 2328-2332, December 2015, doi: 10.1587/transinf.2015EDL8131.
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.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2015EDL8131/_p
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@ARTICLE{e98-d_12_2328,
author={Masoud REYHANI HAMEDANI, Sang-Wook KIM, },
journal={IEICE TRANSACTIONS on Information},
title={SimCS: An Effective Method to Compute Similarity of Scientific Papers Based on Contribution Scores},
year={2015},
volume={E98-D},
number={12},
pages={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.},
keywords={},
doi={10.1587/transinf.2015EDL8131},
ISSN={1745-1361},
month={December},}
Copy
TY - JOUR
TI - SimCS: An Effective Method to Compute Similarity of Scientific Papers Based on Contribution Scores
T2 - IEICE TRANSACTIONS on Information
SP - 2328
EP - 2332
AU - Masoud REYHANI HAMEDANI
AU - Sang-Wook KIM
PY - 2015
DO - 10.1587/transinf.2015EDL8131
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E98-D
IS - 12
JA - IEICE TRANSACTIONS on Information
Y1 - December 2015
AB - 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.
ER -
English
