Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction.
Qitian Wu|Chaoqi Yang|Hengrui Zhang|Xiaofeng Gao|Paul Weng|Guihai Chen
| Anthology ID: | DBLP:conf/cikm/WuYZGWC18 |
|---|---|
| Volume: | Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018 |
| Year: | 2018 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 517-526 |
| URL: | https://doi.org/10.1145/3269206.3271714 |
| DOI: | https://doi.org/10.1145/3269206.3271714 |
| DBLP: | conf/cikm/WuYZGWC18 |
| BibTeX: |
@inproceedings{wu-2018-adversarial,
author = {Qitian Wu and
Chaoqi Yang and
Hengrui Zhang and
Xiaofeng Gao and
Paul Weng and
Guihai Chen},
editor = {Alfredo Cuzzocrea and
James Allan and
Norman W. Paton and
Divesh Srivastava and
Rakesh Agrawal and
Andrei Z. Broder and
Mohammed J. Zaki and
K. Sel\c{c}uk Candan and
Alexandros Labrinidis and
Assaf Schuster and
Haixun Wang},
title = {{Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction}},
booktitle = {{Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018}},
pages = {517--526},
publisher = {ACM},
year = {2018},
url = {https://doi.org/10.1145/3269206.3271714},
doi = {https://doi.org/10.1145/3269206.3271714}
}