Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework

Xiaoyang Ma, Lan Zhang, Lan Xu, Zhicheng Liu, Ge Chen, Zhili Xiao, Yang Wang, Zhengtao Wu. Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework. In Ankur Teredesai, Vipin Kumar, Ying Li, Rómer Rosales, Evimaria Terzi, George Karypis, editors, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. pages 2403-2411, ACM, 2019. [doi]

@inproceedings{MaZXLCXWW19,
  title = {Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework},
  author = {Xiaoyang Ma and Lan Zhang and Lan Xu and Zhicheng Liu and Ge Chen and Zhili Xiao and Yang Wang and Zhengtao Wu},
  year = {2019},
  doi = {10.1145/3292500.3330728},
  url = {https://doi.org/10.1145/3292500.3330728},
  researchr = {https://researchr.org/publication/MaZXLCXWW19},
  cites = {0},
  citedby = {0},
  pages = {2403-2411},
  booktitle = {Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019},
  editor = {Ankur Teredesai and Vipin Kumar and Ying Li and Rómer Rosales and Evimaria Terzi and George Karypis},
  publisher = {ACM},
  isbn = {978-1-4503-6201-6},
}