Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings

Vaibhav Krishna, Tian Guo, Nino Antulov-Fantulin. Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings. In Hanghang Tong, Zhenhui Jessie Li, Feida Zhu, Jeffrey Yu, editors, 2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018. pages 1289-1293, IEEE, 2018. [doi]

@inproceedings{KrishnaGA18,
  title = {Is Simple Better? Revisiting Non-Linear Matrix Factorization for Learning Incomplete Ratings},
  author = {Vaibhav Krishna and Tian Guo and Nino Antulov-Fantulin},
  year = {2018},
  doi = {10.1109/ICDMW.2018.00183},
  url = {https://doi.org/10.1109/ICDMW.2018.00183},
  researchr = {https://researchr.org/publication/KrishnaGA18},
  cites = {0},
  citedby = {0},
  pages = {1289-1293},
  booktitle = {2018 IEEE International Conference on Data Mining Workshops, ICDM Workshops, Singapore, Singapore, November 17-20, 2018},
  editor = {Hanghang Tong and Zhenhui Jessie Li and Feida Zhu and Jeffrey Yu},
  publisher = {IEEE},
  isbn = {978-1-5386-9288-2},
}