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http://dx.doi.org/10.3745/KTSDE.2015.4.8.321

Reviewer Recommendation Algorithms in Journal Manuscript Submission and Review Systems  

Jeong, Yong-Jin (한국기술교육대학교 컴퓨터공학과)
Kim, Kyoung-Han (한국기술교육대학교 컴퓨터공학과)
Lim, Hyun-Kyo (한국기술교육대학교 컴퓨터공학과)
Kim, Yong-Hwan (한국기술교육대학교 컴퓨터공학과)
Han, Youn-Hee (한국기술교육대학교)
Publication Information
KIPS Transactions on Software and Data Engineering / v.4, no.8, 2015 , pp. 321-330 More about this Journal
Abstract
In journal manuscript submission and review systems, authors can submit their manuscript at any time and editorial members are struggling to find proper reviewers for the submitted manuscripts and assign them to such reviewers. In order to solve this problem, we propose a greedy algorithm and a genetic algorithm to recommend proper reviewers for the submitted manuscripts. The proposed algorithms evaluate reviewers' speciality for the submitted manuscripts by using the submitted manuscripts' keywords and the reviewers expertises. In addition to that, they take the fairness among the reviewers' speciality and the review frequency for consideration. To verify the proposed algorithms, we apply them to the JIPS manuscript submission and review system that the Korea Information Processing Society has operated, and present the results in this paper. By performing the performance evaluation of the proposed algorithms, we finally show that the genetic algorithm outperforms the greedy algorithm in terms of the recommended reviewers' fitness.
Keywords
Greedy Algorithm; Genetic Algorithm; Reviewer Recommendation; Journal Review System;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 C. Long, R. C. Wong, Y. Peng, and L. Ye, "On Good and Fair Paper-Reviewer Assignment," IEEE 13th International Conference on Data Mining, 2013.
2 X. Liu, T. Suel, and N. Memon, "A Robust Model for Paper-Reviewer Assignment," the 8th ACM Conference on Recommender systems: 25-32, 2014.
3 X. Yun-hong, G. Xi-tong, X. Liang, C. Yu, Z. and Yong-yao, "Research Analytics for Reviewer Recommendation," International Conference on Management Science & Engineering (19th), 2012.
4 J. Lee, J. Lee, H. Jung, I. Kang, S. Shin "Automatic Recommendation of Panel Pool Using a Probabilistic Ontology and Researcher Networks" Journal of the Korean Society for Information Management, Vol.24, No.3, pp.43-65, 2007.   DOI
5 [Internet] http://www.manuscriptlink.com/journals/jips.
6 P. Kim, S. Lee, I. Kang, H. Jung, J. Lee, W. Sung "The Academic Information Analysis Service using OntoFrame-Recommendation of Reviewers and Analysis of Researchers' Accomplishments" Journal of KIISE : Computer Systems and Theory, Vol.35, No.7, pp.431-441, 2008.
7 J. Lee, K. Lee, and J. G. Kim, "Personalized Academic Research Paper Recommendation System," arXiv preprint arXiv:1304.5457, 2013.
8 C. Basu, H. Hirsh, W. W. Cohen, and C. Nevill-Maning, "Technical Paper Recommendation: A Study in Combining Multiple Information Sources," Journal of Artificial Intelligence Research, Vol.14, pp.231-252, 2001.
9 김진권 "KFMA Online 논문투고/심사 시스템 안내" Journal of fluid machinery, Vol.8, No.1, pp.81-85, 2005.
10 W. W. Cohen, P. Ravikumar, and S. E. Fienberg, "A comparison of string metrics for matching names and records" KDD Workshop on Data Cleaning and Object Consolidation, Vol.3, pp.73-78, 2003.
11 D. C. Conry, "Recommender Systems for the Conference Paper Assignment Problem," the ACM Conference on Recommender Systems, 2009.
12 J. Goldsmith and R. H. Sloan, "The AI Conference Paper Assignment Problem," In Pref. Handling for AI, Papers from the AAAI Workshop, 2007.
13 T. Kolasa and D. Kro,l "A Survey of Algorithms for Paperreviewer Assignment Problem," IETE Technical Review (Medknow Publications & media Pvt. Ltd.), 2011.
14 [Internet] https://www.manuscriptlink.com/journals/jips.
15 J. Park, Y. Cho "Social Network Analysis for the Effective Adoption of Recommender Systems" Journal of Intelligence and Information Systems, Vol.17, No.4, pp.305-316, 2011.
16 S. Lee "Personalized Contents Recommendation System Based on Social Network" Journal of Broadcast Engineering, Vol.18, No.1, pp.98-105, 2013.   DOI