Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go?

Ratnadira Widyasari, Zhipeng Zhao, Thanh Le-Cong, Hong Jin Kang, David Lo 0001. Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go?. In Tao Zhang, Xin Xia, Nicole Novielli, editors, IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023, Taipa, Macao, March 21-24, 2023. pages 167-178, IEEE, 2023. [doi]

@inproceedings{WidyasariZLKL23,
  title = {Topic Recommendation for GitHub Repositories: How Far Can Extreme Multi-Label Learning Go?},
  author = {Ratnadira Widyasari and Zhipeng Zhao and Thanh Le-Cong and Hong Jin Kang and David Lo 0001},
  year = {2023},
  doi = {10.1109/SANER56733.2023.00025},
  url = {https://doi.org/10.1109/SANER56733.2023.00025},
  researchr = {https://researchr.org/publication/WidyasariZLKL23},
  cites = {0},
  citedby = {0},
  pages = {167-178},
  booktitle = {IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023, Taipa, Macao, March 21-24, 2023},
  editor = {Tao Zhang and Xin Xia and Nicole Novielli},
  publisher = {IEEE},
  isbn = {978-1-6654-5278-6},
}