Predicting the Popularity of Online Serials with Autoregressive Models.
Biao Chang|Hengshu Zhu|Yong Ge|Enhong Chen|Hui Xiong|Chang Tan
| Anthology ID: | DBLP:conf/cikm/ChangZGCXT14 |
|---|---|
| Volume: | Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014 |
| Year: | 2014 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1339-1348 |
| URL: | https://doi.org/10.1145/2661829.2662055 |
| DOI: | https://doi.org/10.1145/2661829.2662055 |
| DBLP: | conf/cikm/ChangZGCXT14 |
| BibTeX: |
@inproceedings{chang-2014-predicting,
author = {Biao Chang and
Hengshu Zhu and
Yong Ge and
Enhong Chen and
Hui Xiong and
Chang Tan},
editor = {Jianzhong Li and
Xiaoyang Sean Wang and
Minos N. Garofalakis and
Ian Soboroff and
Torsten Suel and
Min Wang},
title = {{Predicting the Popularity of Online Serials with Autoregressive Models}},
booktitle = {{Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014}},
pages = {1339--1348},
publisher = {ACM},
year = {2014},
url = {https://doi.org/10.1145/2661829.2662055},
doi = {https://doi.org/10.1145/2661829.2662055}
}