Is deep learning better than traditional approaches in tag recommendation for software information sites?

Zhou, Pingyi, Liu, Jin, Liu, Xiao, Yang, Zijiang and Grundy, John 2019, Is deep learning better than traditional approaches in tag recommendation for software information sites?, Information and software technology, vol. 109, pp. 1-13, doi: 10.1016/j.infsof.2019.01.002.

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Title Is deep learning better than traditional approaches in tag recommendation for software information sites?
Author(s) Zhou, Pingyi
Liu, Jin
Liu, XiaoORCID iD for Liu, Xiao orcid.org/0000-0001-8400-5754
Yang, Zijiang
Grundy, JohnORCID iD for Grundy, John orcid.org/0000-0003-4928-7076
Journal name Information and software technology
Volume number 109
Start page 1
End page 13
Total pages 13
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2019-05
ISSN 0950-5849
Keyword(s) Deep learning
Data analysis
Tag recommendation
Software information site
Software object
Science & Technology
Technology
Computer Science, Information Systems
Computer Science, Software Engineering
Computer Science
Language eng
DOI 10.1016/j.infsof.2019.01.002
Field of Research 0803 Computer Software
0806 Information Systems
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, Elsevier B.V.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30118345

Document type: Journal Article
Collection: School of Information Technology
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