Perceiving Conflict of Interest Experts Recommendation System Based on a Machine Learning Approach

• Published in: Applied sciences Vol. 13; no. 4; p. 2214
• Main Authors: Im, Yunjeong, Song, Gyuwon, Cho, Minsang
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.02.2023
• Subjects: Algorithms; Bias; Computational linguistics; conflict of interest; Data mining; Ethical aspects; expert recommendation; highly connected subgraph; Keywords; Language processing; Learned societies; Machine learning; Methods; Natural language interfaces; Natural language processing; Peer review; Productivity; Proposals; R&D; Rankings; Recommender systems; Research & development; Researchers; scholarly big data; Semantics; South Korea

Academic societies and funding bodies that conduct peer reviews need to select the best reviewers in each field to ensure publication quality. Conventional approaches for reviewer selection focus on evaluating expertise based on research relevance by subject or discipline. An improved perceiving con...