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} }