ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding.

Zixuan Liu|Sheng Wang|Sangwoo Kim|Gaurush Hiranandani|Kun Qian|Edward W. Huang|Yi Xu|Belinda Zeng|Karthik Subbian|Sheng Wang|Sangwoo Kim


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 Sheng Wang and Sangwoo Kim and Gaurush Hiranandani and Kun Qian and Edward W. Huang and Yi Xu and Belinda Zeng and Karthik Subbian and Sheng Wang and Sangwoo Kim}, 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} }