A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories

Claudio Di Sipio, Riccardo Rubei, Davide Di Ruscio, Phuong T. Nguyen. A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories. In Jingyue Li, Letizia Jaccheri, Torgeir Dingsøyr, Ruzanna Chitchyan, editors, EASE '20: Evaluation and Assessment in Software Engineering, Trondheim, Norway, April 15-17, 2020. pages 71-80, ACM, 2020. [doi]

@inproceedings{SipioRRN20,
  title = {A Multinomial Naïve Bayesian (MNB) Network to Automatically Recommend Topics for GitHub Repositories},
  author = {Claudio Di Sipio and Riccardo Rubei and Davide Di Ruscio and Phuong T. Nguyen},
  year = {2020},
  doi = {10.1145/3383219.3383227},
  url = {https://doi.org/10.1145/3383219.3383227},
  researchr = {https://researchr.org/publication/SipioRRN20},
  cites = {0},
  citedby = {0},
  pages = {71-80},
  booktitle = {EASE '20: Evaluation and Assessment in Software Engineering, Trondheim, Norway, April 15-17, 2020},
  editor = {Jingyue Li and Letizia Jaccheri and Torgeir Dingsøyr and Ruzanna Chitchyan},
  publisher = {ACM},
  isbn = {978-1-4503-7731-7},
}