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} }