Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G Era.
Shaoyuan Huang|Heng Zhang|Xiaofei Wang|Min Chen|Jianxin Li|Victor C. M. Leung
| Anthology ID: | DBLP:conf/cikm/HuangZ00LL21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 750-759 |
| URL: | https://doi.org/10.1145/3459637.3482298 |
| DOI: | https://doi.org/10.1145/3459637.3482298 |
| DBLP: | conf/cikm/HuangZ00LL21 |
| BibTeX: |
@inproceedings{huang-2021-spatiotemporalsocial,
author = {Shaoyuan Huang and
Heng Zhang and
Xiaofei Wang and
Min Chen and
Jianxin Li and
Victor C. M. Leung},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G Era}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {750--759},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482298},
doi = {https://doi.org/10.1145/3459637.3482298}
}