This paper is in the following e-collection/theme issue:

Epublishing and Open Access (80) Knowledge Translation and Implementation Science (372)

Published on in Vol 21, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12957, first published .
The Deep Learning–Based Recommender System “Pubmender” for Choosing a Biomedical Publication Venue: Development and Validation Study

The Deep Learning–Based Recommender System “Pubmender” for Choosing a Biomedical Publication Venue: Development and Validation Study

The Deep Learning–Based Recommender System “Pubmender” for Choosing a Biomedical Publication Venue: Development and Validation Study

Authors of this article:

Xiaoyue Feng1, 2 Author Orcid Image ;   Hao Zhang1 Author Orcid Image ;   Yijie Ren2 Author Orcid Image ;   Penghui Shang2 Author Orcid Image ;   Yi Zhu2 Author Orcid Image ;   Yanchun Liang1, 3 Author Orcid Image ;   Renchu Guan1, 3 Author Orcid Image ;   Dong Xu1, 2, 4 Author Orcid Image
Article Authors Cited by (44) Tweetations (15) Metrics

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  24. Panteli A, Boutsinas B. Addressing the Cold-Start Problem in Recommender Systems Based on Frequent Patterns. Algorithms 2023;16(4):182 View
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