Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender Systems

Tomofumi Hara, Yuki Sumiya, Kazuhide Nakata. Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender Systems. In Jihe Wang, Yi He 0007, Thang N. Dinh, Christan Grant, Meikang Qiu, Witold Pedrycz, editors, IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023. pages 24-30, IEEE, 2023. [doi]

@inproceedings{HaraSN23,
  title = {Temporal Positive Collective Matrix Factorization for Interpretable Trend Analysis in Recommender Systems},
  author = {Tomofumi Hara and Yuki Sumiya and Kazuhide Nakata},
  year = {2023},
  doi = {10.1109/ICDMW60847.2023.00011},
  url = {https://doi.org/10.1109/ICDMW60847.2023.00011},
  researchr = {https://researchr.org/publication/HaraSN23},
  cites = {0},
  citedby = {0},
  pages = {24-30},
  booktitle = {IEEE International Conference on Data Mining, ICDM 2023 - Workshops, Shanghai, China, December 4, 2023},
  editor = {Jihe Wang and Yi He 0007 and Thang N. Dinh and Christan Grant and Meikang Qiu and Witold Pedrycz},
  publisher = {IEEE},
  isbn = {979-8-3503-8164-1},
}