DocumentCode :
679551
Title :
On Good and Fair Paper-Reviewer Assignment
Author :
Cheng Long ; Wong, Raymond Chi-Wing ; Yu Peng ; Liangliang Ye
Author_Institution :
Hong Kong Univ. of Sci. & Technol., Kowloon, China
fYear :
2013
fDate :
7-10 Dec. 2013
Firstpage :
1145
Lastpage :
1150
Abstract :
Peer review has become the most common practice for judging papers submitted to a conference for decades. An extremely important task involved in peer review is to assign submitted papers to reviewers with appropriate expertise which is referred to as paper-reviewer assignment. In this paper, we study the paper-reviewer assignment problem from both the goodness aspect and the fairness aspect. For the goodness aspect, we propose to maximize the topic coverage of the paper-reviewer assignment. This objective is new and the problem based on this objective is shown to be NP-hard. To solve this problem efficiently, we design an approximate algorithm which gives a 1/3-approximation. For the fairness aspect, we perform a detailed study on conflict-of-interest (COI) types and discuss several issues related to using COI, which, we hope, can raise some open discussions among researchers on the COI study. Finally, we conducted experiments on real datasets which verified the effectiveness of our algorithm and also revealed some interesting results of COI.
Keywords :
computational complexity; optimisation; query processing; text analysis; 1/3-approximation; COI types; NP-hard problem; approximate algorithm; conflict-of-interest types; fair paper-reviewer assignment paper; good paper-reviewer assignment; peer review; query; text document; Algorithm design and analysis; Approximation algorithms; Approximation methods; Bipartite graph; Data mining; Greedy algorithms; Linear programming; COI study; Paper reviewer assignment; topic coverage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining (ICDM), 2013 IEEE 13th International Conference on
Conference_Location :
Dallas, TX
ISSN :
1550-4786
Type :
conf
DOI :
10.1109/ICDM.2013.13
Filename :
6729612
Link To Document :
بازگشت