• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.33 no.4
• /
• pp.139-157
• /
• 2022

Finding and selecting proper reviewers is a burden on the publisher of the journal. In order to solve this problem, the online submission system started to recommend appropriate reviewers automatically. It includes a variety of new features, from recommending authors in the references of submitted papers as reviewers to finding similar papers by searching the citation index and suggesting reviewer candidates extensively. This study investigated how the online submission system provides functions such as recommendation of reviewers. As a result of examining major online submission systems, ScholarOne and Editorial Manager were recommending reviewer candidates by commercial citation index and review history platform. On the other hand, JAMS, a domestic online submission system, did not have any advanced functions such as recommendation of candidates for reviewers. Sooner or later, in Korea, it seems that more efforts should be made to improve the function of online submission system, such as recommending suitable reviewers for papers.

• Journal of the Korean Society for information Management
• /
• v.24 no.3
• /
• pp.43-65
• /
• 2007

Automatic recommendation system of panel pool should be designed to support universal, expertness, fairness, and reasonableness in the process of review of proposals. In this research, we apply the theory of probabilistic ontology to measure relatedness between terms in the classification of academic domain, enlarge the number of review candidates, and rank recommendable reviewers according to their expertness. In addition, we construct a researcher network connecting among researchers according to their various relationships like mentor, coauthor, and cooperative research. We use the researcher network to exclude inappropriate reviewers and support fairness of reviewer recommendation process. Our methodology recommending proper reviewers is verified from experts in the field of proposal examination. It propose the proper method for developing a resonable reviewer recommendation system.

• Journal of KIISE:Software and Applications
• /
• v.35 no.7
• /
• pp.431-441
• /
• 2008

The academic information analysis service is including automatic recommendation of reviewers and analysis of researchers' accomplishments. The service of recommendation of reviewers should be processed in a transparent, fair and accountable way. When selecting reviewers, the following information must be considered: subject of project, reviewer's maj or, expertness of reviewer, relationship between applicant and reviewer. The analysis service of researchers' accomplishments is providing statistic information of researcher, institution and location based on accomplishments including book, article, patent, report and work of art. In order to support these services, we designed ontology for academic information, converted legacy data to RDF triples, expanded knowledge appropriate to services using OntoFrame. OntoFrame is service framework which includes ontology, reasoning engine, triple store. In our study, we propose the design methodology of ontology and service system for academic information based on OntoFrame. And then we explain the components of service system, processing steps of automatic recommendation of reviewers and analysis of researchers' accomplishments.

• Journal of Distribution Science
• /
• v.15 no.10
• /
• pp.41-50
• /
• 2017

Purpose - Online product review has become a crucial part of the online retailer's market performance for a wide range of products. This research aims to investigate how an individual reviewer's review frequency and timing affect her/his average attitude toward products. Research design, data, and methodology - To conduct reviewer-level analysis, this study uses 42,172 posted online review messages generated by 6,941 identified reviewers for 59 movies released in the South Korea from July 2015 to December 2015. This study adopts Tobit model specification to take into account the censored nature and the selection bias arising from the nature of J-shaped distribution of movie rating. Results - Our estimation results support that the negative impact of review frequency and timing on valence. Furthermore, review timing has an inverted-U relationship with the user's average valence and enhance the negative effect of review frequency. Conclusions - This study contributes to the growing literature on the understanding how eWOM is generated at the individual consumer level. On the basis of the main empirical findings, this study provides insights into building a recommendation system in online retail store based on the consumer's review history data - frequency, timing, and valence.

• KIPS Transactions on Software and Data Engineering
• /
• v.4 no.8
• /
• pp.321-330
• /
• 2015

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.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.11a
• /
• pp.1119-1121
• /
• 2014

저널 논문 투고 및 심사시스템에서의 논문 제출은 상시 이루어진다는 특성 때문에 논문이 제출된 시점에 적절한 심사자들을 찾아 배정하기란 쉽지 않은 문제이다. 본 논문에서는 이러한 문제를 해결하기 위하여 제출된 논문에 적절한 심사자들을 추천해주는 알고리즘을 제시하고자 한다. 심사자 추천 알고리즘에서는 해당 논문의 전문가를 심사자로써 추천하기 위하여 제출된 논문들의 키워드(Keyword)와 심사자들의 전문지식태그(Expertise Tag) 정보를 활용한다. 또한 심사자들의 기존의 심사 정보를 토대로 심사활동지수를 평가하여 이를 심사자 추천에 활용하고자 한다. 제안하는 알고리즘을 검증하기 위하여 본 논문에서는 실제 저널 논문투고시스템에 추천 알고리즘을 적용해보고 이의 결과를 제시한다.

• Journal of Korean Academy of Nursing
• /
• v.37 no.3
• /
• pp.422-430
• /
• 2007

Purpose: This study was performed to identify current characteristics of the Journal of Korean Academy of Nursing and to explore a way to elevate it to an international level and to critique the overall review process so as to delineate the advanced, objective paper appraisal in this journal. Methods: Data was collected using self administered questionnaires to 75 journal reviewers belonging to the Korean academy of nursing and its division academy of nursing from August 15th to September 30th, 2006. Results: The majority of reviewers pointed out a lack of discrimination between the Journal of Korean Academy of Nursing and other Journals. Among the main answers of reviewers, Creativeness(52.3%) and excellence of nursing(38%) will be critical factors to develop in order to elevate to an the journal to an international level. In specific evaluation areas, reviewers preferred a subjective critique method(60%), and the condition of the decision making process regarding paper acceptance as a combination of checklist and subjective evaluation(84%). Subjective evaluation opinions with major categories will occur in the next revised evaluation format. 76% of reviewers agreed with the current objective evaluation form. Conclusions: The journal review process should be evaluated on a regular basis to elevate the journal level and a mutual agreement of the journal's scope, range, and purpose will be necessary. As a recommendation, an attempt at various approaches in journal reviews and reviewer training should be made.