Predicting the popularity of web 2.0 items based on user comments.
Xiangnan He|Ming Gao|Min-Yen Kan|Yiqun Liu|Kazunari Sugiyama
| Anthology ID: | DBLP:conf/sigir/HeGKLS14 |
|---|---|
| Volume: | The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '14, Gold Coast , QLD, Australia - July 06 - 11, 2014 |
| Year: | 2014 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 233-242 |
| URL: | https://doi.org/10.1145/2600428.2609558 |
| DOI: | https://doi.org/10.1145/2600428.2609558 |
| DBLP: | conf/sigir/HeGKLS14 |
| BibTeX: |
@inproceedings{he-2014-predicting,
author = {Xiangnan He and
Ming Gao and
Min-Yen Kan and
Yiqun Liu and
Kazunari Sugiyama},
editor = {Shlomo Geva and
Andrew Trotman and
Peter Bruza and
Charles L. A. Clarke and
Kalervo J\"{a}rvelin},
title = {{Predicting the popularity of web 2.0 items based on user comments}},
booktitle = {{The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '14, Gold Coast , QLD, Australia - July 06 - 11, 2014}},
pages = {233--242},
publisher = {ACM},
year = {2014},
url = {https://doi.org/10.1145/2600428.2609558},
doi = {https://doi.org/10.1145/2600428.2609558}
}