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Reviewer recommendation algorithm based on affinity and research direction coverage
Lei ZHONG, Yunsheng ZHOU, Dunhui YU, Haibo CUI
Journal of Computer Applications    2023, 43 (2): 430-436.   DOI: 10.11772/j.issn.1001-9081.2021122127
Abstract291)   HTML13)    PDF (2659KB)(62)       Save

To deal with the problem that the existing reviewer recommendation algorithms assign reviewers only through affinity score and ignore the research direction matching between reviewers and papers to be reviewed, a reviewer recommendation algorithm based on Affinity and Research Direction Coverage (ARDC) was proposed. Firstly, the order of the paper’s selection of reviewers was determined according to the frequencies of the research directions appearing in the papers and the reviewer’s paper groups. Secondly, the reviewer’s comprehensive review score to the paper to be reviewed was calculated based on the affinity score between the reviewers and the paper to be reviewed and the research direction coverage score of the reviewers to the paper to be reviewed, and the pre-assigned review team for the paper was obtained on the basis of round-robin scheduling. Finally, the final recommendation of the review team was realized based on the conflict of interest conflict inspection and resolution. Experimental results show that compared with assignment based reviewer recommendation algorithms such as Fair matching via Iterative Relaxation (FairIR) and Fair and Accurate reviewer assignment in Peer Review (PR4A), the proposed algorithm has the average research direction coverage score increased by 38% on average at the expense of a small amount of affinity score, so that the recommendation result is more accurate and reasonable.

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