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} }