ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding.
Zixuan Liu|Sangwoo Kim|Sheng Wang|Gaurush Hiranandani|Kun Qian|Edward W. Huang|Yi Xu|Belinda Zeng|Karthik Subbian|Sangwoo Kim|Sheng Wang
| Anthology ID: | DBLP:conf/cikm/LiuHQHXZSW23 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1523-1533 |
| URL: | https://doi.org/10.1145/3583780.3614887 |
| DOI: | https://doi.org/10.1145/3583780.3614887 |
| DBLP: | conf/cikm/LiuHQHXZSW23 |
| BibTeX: |
@inproceedings{liu-2023-foreseer,
author = {Zixuan Liu and
Sangwoo Kim and
Sheng Wang and
Gaurush Hiranandani and
Kun Qian and
Edward W. Huang and
Yi Xu and
Belinda Zeng and
Karthik Subbian and
Sangwoo Kim and
Sheng Wang},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {1523--1533},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614887},
doi = {https://doi.org/10.1145/3583780.3614887}
}