1 Citation (Scopus)

Abstract

the reviewer's recommendation in accordance with the field of research is crucial where this is directly proportional to the results of the review on the research. In finding suitable reviewers, conflicts of interest (COI) are often found. In this paper, we propose an approach to reviewer recommendations with topic extraction and author extraction to prevent COI. First, we separate the process into 2, namely to do topic extraction using Latent Dirichlet Allocation (LDA), and also to do author extraction using Cosine Similarity. The next step is to combine the two results to rank the 10 recommended authors. The experimental results show that our approach has succeeded in getting 10 recommended reviewers to avoid COI.

Original languageEnglish
Title of host publicationProceedings of 2021 13th International Conference on Information and Communication Technology and System, ICTS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages195-200
Number of pages6
ISBN (Electronic)9781665440592
DOIs
Publication statusPublished - 2021
Event13th International Conference on Information and Communication Technology and System, ICTS 2021 - Virtual, Online, Indonesia
Duration: 20 Oct 202121 Oct 2021

Publication series

NameProceedings of 2021 13th International Conference on Information and Communication Technology and System, ICTS 2021

Conference

Conference13th International Conference on Information and Communication Technology and System, ICTS 2021
Country/TerritoryIndonesia
CityVirtual, Online
Period20/10/2121/10/21

Keywords

  • Conflict of Interest
  • Cosine Similarity
  • LDA
  • Recommendation
  • Topic Extraction

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