DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence

Jun Zeng, Haoran Tang, Junhao Wen. DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence. In Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King, editors, Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III. Volume 12534 of Lecture Notes in Computer Science, pages 420-431, Springer, 2020. [doi]

@inproceedings{ZengTW20,
  title = {DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence},
  author = {Jun Zeng and Haoran Tang and Junhao Wen},
  year = {2020},
  doi = {10.1007/978-3-030-63836-8_35},
  url = {https://doi.org/10.1007/978-3-030-63836-8_35},
  researchr = {https://researchr.org/publication/ZengTW20},
  cites = {0},
  citedby = {0},
  pages = {420-431},
  booktitle = {Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III},
  editor = {Haiqin Yang and Kitsuchart Pasupa and Andrew Chi-Sing Leung and James T. Kwok and Jonathan H. Chan and Irwin King},
  volume = {12534},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-63836-8},
}