Recommending Reviewer Groups for Research Projects Based on Topic Coverage
[Objective]Aimed at the peer review process of scientific research projects,this paper measures the coverage of reviewers'knowledge on research project topics and constructs expert groups of maximum topic coverage.[Methods]We proposed three principles for recommending reviewer groups for research projects:the maximum topic coverage principle,the maximum knowledge matching principle,and the appropriate workload principle.Then,we developed a method for identifying the research topics of reviewers and projects using the Overlapping K-means.To achieve maximum topic coverage,we constructed a reviewer group recommendation model based on topic coverage,transforming the recommendation problem into an optimization problem.[Results]In two controlled experiments,the reviewer groups constructed by the proposed method increased the topic coverage by 32.38％and 29.01％,respectively.[Limitations]We need to quantitatively explore how to achieve multi-objective optimization for recommending reviewers for research projects according to the three principles.[Conclusions]This research took the reviewer group recommendation for the National Natural Science Foundation of China project application as a case study.It verified the feasibility and effectiveness of the proposed method through qualitative and quantitative analysis.
Review of Scientific Research ProjectsReviewer GroupReviewer RecommendationTopic Coverage
万方数据
维普
