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

Crossref DOI link: https://doi.org/10.1016/j.infsof.2019.01.002

Published Print: 2019-05

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Zhou, Pingyi

Liu, Jin

Liu, Xiao

Yang, Zijiang

Grundy, John https://orcid.org/0000-0003-4928-7076
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (61572374)

National Natural Science Foundation of China (U163620068)

National Natural Science Foundation of China (U1135005)

National Natural Science Foundation of China (61572371)

National Natural Science Foundation of China (61772525)

Guangxi Key Laboratory (kx201607)

Wuhan University (WHU2016012)
License Information

Text and Data Mining valid from 2019-05-01
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This article is maintained by: Elsevier

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

Journal Title: Information and Software Technology

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.infsof.2019.01.002

Content Type: article

Copyright: © 2019 Elsevier B.V. All rights reserved.