MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations

Krishna Prasad Neupane, Ervine Zheng, Qi Yu 0001. MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations. In James Bailey 0001, Pauli Miettinen, Yun Sing Koh, Dacheng Tao, Xindong Wu 0001, editors, IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021. pages 1258-1263, IEEE, 2021. [doi]

@inproceedings{NeupaneZ021,
  title = {MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations},
  author = {Krishna Prasad Neupane and Ervine Zheng and Qi Yu 0001},
  year = {2021},
  doi = {10.1109/ICDM51629.2021.00154},
  url = {https://doi.org/10.1109/ICDM51629.2021.00154},
  researchr = {https://researchr.org/publication/NeupaneZ021},
  cites = {0},
  citedby = {0},
  pages = {1258-1263},
  booktitle = {IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021},
  editor = {James Bailey 0001 and Pauli Miettinen and Yun Sing Koh and Dacheng Tao and Xindong Wu 0001},
  publisher = {IEEE},
  isbn = {978-1-6654-2398-4},
}