Jinwen Zhong, Can Ma, Jiang Zhou, Weiping Wang. PDPNN: Modeling User Personal Dynamic Preference for Next Point-of-Interest Recommendation. In Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira, editors, Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part VI. Volume 12142 of Lecture Notes in Computer Science, pages 45-57, Springer, 2020. [doi]
@inproceedings{ZhongMZW20,
title = {PDPNN: Modeling User Personal Dynamic Preference for Next Point-of-Interest Recommendation},
author = {Jinwen Zhong and Can Ma and Jiang Zhou and Weiping Wang},
year = {2020},
doi = {10.1007/978-3-030-50433-5_4},
url = {https://doi.org/10.1007/978-3-030-50433-5_4},
researchr = {https://researchr.org/publication/ZhongMZW20},
cites = {0},
citedby = {0},
pages = {45-57},
booktitle = {Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part VI},
editor = {Valeria V. Krzhizhanovskaya and Gábor Závodszky and Michael Harold Lees and Jack J. Dongarra and Peter M. A. Sloot and Sérgio Brissos and João Teixeira},
volume = {12142},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-50433-5},
}