Elsevier journal finder: Recommending journals for your paper

Ning Kang, Marius Doornenbal, Bob Schijvenaars

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    23 Scopus citations

    Abstract

    Rejection is the norm in academic publishing. One of the main reasons for rejections is that the topics of the submitted papers are not relevant to the scope of the journal, even when the papers themselves are excellent. Submission to a journal that fits well with the publication may avoid this issue. A system that is able to suggest journals that have published similar articles to the submitted papers may help authors choose where to submit. The Elsevier journal finder, a freely available online service, is one of the most comprehensive journal recommender systems, covering all scientific domains and more than 2,900 per-reviewed Elsevier journals. The system uses natural language processing for feature generation, and Okapi BM25 matching for the recommendation algorithm. The procedure is to paste text, such as an abstract, and get a list of recommend journals and relevant metadata. The website URL is http://journalfinder.elsevier.com.

    Original languageEnglish
    Title of host publicationRecSys 2015 - Proceedings of the 9th ACM Conference on Recommender Systems
    PublisherAssociation for Computing Machinery, Inc
    Pages261-264
    Number of pages4
    ISBN (Electronic)9781450336925
    DOIs
    StatePublished - Sep 16 2015
    Event9th ACM Conference on Recommender Systems, RecSys 2015 - Vienna, Austria
    Duration: Sep 16 2015Sep 20 2015

    Publication series

    NameRecSys 2015 - Proceedings of the 9th ACM Conference on Recommender Systems

    Conference

    Conference9th ACM Conference on Recommender Systems, RecSys 2015
    Country/TerritoryAustria
    CityVienna
    Period09/16/1509/20/15

    Keywords

    • Natural language processing
    • Noun phrase
    • Okapi BM25
    • Recommender system
    • TF-IDF

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