A Comparison of Automated Journal Recommender Systems

Entrup, Elias; Ewerth, Ralph; Hoppe, Anett

doi:10.1007/978-3-031-43849-3_20

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…A scientific journal recommender system is a tool or software designed to assist researchers in identifying relevant and appropriate journals for their research papers. These systems are based on different computer-based algorithms and techniques to analyze the characteristics of the manuscript and match them with the scope and focus of different journals (Entrup et al, 2023). These systems typically operate based on the input provided by the researcher, such as the title, abstract, keywords, or even the full manuscript.…”

Section: Journal Recommender Systemsmentioning

confidence: 99%

Enhancing research publication choices: A comparative study of journal recommender systems and their effectiveness

Bouaguel,

Benyounes,

Ncir

2024

Int. j. adv. appl. sci.

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In recent years, there has been a rapid increase in the number of research papers being published, leading to what many feel is an overload of information. This makes it difficult for researchers to choose the right journal for their work. To help with this, journal recommender systems have been suggested as useful tools to help researchers find the most appropriate journals for their research. With so many journals, publishers, and recommender systems to choose from, deciding on the best one can be complicated. This decision depends on several factors, including the publisher, the scientific database, and the specific needs and preferences of the user. In this paper, we offer a detailed comparison of popular journal recommender systems, both theoretically and through experiments, to see how effective they are at making recommendations. We focus on how relevant and helpful these recommendations are. We also provide advice for researchers on how to make the most of these recommender systems to aid in their publishing process.

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Section: Journal Recommender Systemsmentioning

confidence: 99%