A Comparison of Automated Journal Recommender Systems

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Authors

  • Elias Entrup
  • Ralph Ewerth
  • Anett Hoppe

Research Organisations

External Research Organisations

  • German National Library of Science and Technology (TIB)
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Details

Original languageEnglish
Title of host publicationLinking Theory and Practice of Digital Libraries
EditorsOmar Alonso, Helena Cousijn, Gianmaria Silvello, Stefano Marchesin, Mónica Marrero, Carla Teixeira Lopes
Pages230-238
Number of pages9
ISBN (electronic)978-3-031-43849-3
Publication statusPublished - 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14241 LNCS
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Abstract

Choosing the right journal for an article can be a challenge. Automated manuscript matching can help authors with the decision by recommending suitable journals based on user-defined criteria. Several approaches for efficient matching have been proposed in the research literature. However, only a few actual recommender systems are available for end users. In this paper, we present an overview of available services and compare their key characteristics such as input values, functionalities, and privacy. We conduct a quantitative analysis of their recommendation results: (a) examining the overlap in the results and pointing out the similarities among them; (b) evaluating their quality with a comparison of their accuracy. Due to the providers’ lack of transparency about the used technologies, the results cannot be easily interpreted. This highlights the need for openness about the used algorithms and data sets.

Keywords

    Recommender systems, Scientific publishing

ASJC Scopus subject areas

Cite this

A Comparison of Automated Journal Recommender Systems. / Entrup, Elias; Ewerth, Ralph; Hoppe, Anett.
Linking Theory and Practice of Digital Libraries. ed. / Omar Alonso; Helena Cousijn; Gianmaria Silvello; Stefano Marchesin; Mónica Marrero; Carla Teixeira Lopes. 2023. p. 230-238 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14241 LNCS).

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

Entrup, E, Ewerth, R & Hoppe, A 2023, A Comparison of Automated Journal Recommender Systems. in O Alonso, H Cousijn, G Silvello, S Marchesin, M Marrero & C Teixeira Lopes (eds), Linking Theory and Practice of Digital Libraries. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14241 LNCS, pp. 230-238. https://doi.org/10.1007/978-3-031-43849-3_20
Entrup, E., Ewerth, R., & Hoppe, A. (2023). A Comparison of Automated Journal Recommender Systems. In O. Alonso, H. Cousijn, G. Silvello, S. Marchesin, M. Marrero, & C. Teixeira Lopes (Eds.), Linking Theory and Practice of Digital Libraries (pp. 230-238). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14241 LNCS). https://doi.org/10.1007/978-3-031-43849-3_20
Entrup E, Ewerth R, Hoppe A. A Comparison of Automated Journal Recommender Systems. In Alonso O, Cousijn H, Silvello G, Marchesin S, Marrero M, Teixeira Lopes C, editors, Linking Theory and Practice of Digital Libraries. 2023. p. 230-238. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2023 Sept 22. doi: 10.1007/978-3-031-43849-3_20
Entrup, Elias ; Ewerth, Ralph ; Hoppe, Anett. / A Comparison of Automated Journal Recommender Systems. Linking Theory and Practice of Digital Libraries. editor / Omar Alonso ; Helena Cousijn ; Gianmaria Silvello ; Stefano Marchesin ; Mónica Marrero ; Carla Teixeira Lopes. 2023. pp. 230-238 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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