Dual-interactive fusion for code-mixed deep representation learning in tag recommendation-Reference-Cited by-同舟云学术

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Dual-interactive fusion for code-mixed deep representation learning in tag recommendation

Published:2023-11 Issue: Volume:99 Page:101862
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Li Lin^ORCID,Wang Peipei^ORCID,Zheng Xinhao,Xie Qing,Tao Xiaohui,Velásquez Juan D.

Funder

Fondo Nacional de Desarrollo Científico y Tecnológico

Key Research and Development Program of Hunan Province of China

Agencia Nacional de Investigación y Desarrollo

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference47 articles.

1. EnTagRec++: an enhanced tag recommendation system for software information sites;Wang;Empir. Softw. Eng.,2018

2. X. Xia, D. Lo, X. Wang, B. Zhou, Tag recommendation in software information sites, in: Proceedings of the 10th Working Conference on Mining Software Repositories, 2013, pp. 287–296.

3. P. Zhou, J. Liu, Z. Yang, G. Zhou, Scalable tag recommendation for software information sites, in: Proceedings of the 2017 IEEE International Conference on Software Analysis, Evolution and Reengineering, 2017, pp. 272–282.

4. FastTagRec: fast tag recommendation for software information sites;Liu;Autom. Softw. Eng.,2018

5. A large scale study on how developers discuss code smells and anti-pattern in Stack Exchange sites;Tahir;Inf. Softw. Technol.,2020

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