Elsevier Journal Finder: Recommending Journals for your Paper
Elsevier Journal Finder: Recommending Journals for your Paper
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Elsevier Journal Finder：为您的论文推荐期刊
DOI：
10.1145/2792838.2799663
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
B. Schijvenaars
中科院分区：
文献类型：
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作者：
Ning Kang;Marius A. Doornenbal;B. Schijvenaars
拒绝是学术出版的常态。被拒的主要原因之一是所提交论文的主题与期刊的范围无关，即使论文本身很优秀。提交到与出版物非常匹配的期刊可能会避免此问题。一个能够推荐发表过与提交论文相似文章的期刊的系统可以帮助作者选择提交的论文。Elsevier journal finder是一项免费的在线服务，是最全面的期刊推荐系统之一，涵盖所有科学领域和超过2，900种经审查的Elsevier期刊。该系统使用自然语言处理进行特征生成，并使用Okapi BM 25匹配进行推荐算法。这个过程是粘贴文本，如摘要，并获得推荐期刊和相关元数据的列表。网址是http://journalfinder.elsevier.com。
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.