Learning What to Ask: Mining Product Attributes for E-commerce Sales from Massive Dialogue Corpora.
Yan Fan|Chengyu Wang|Fan Feng|Hengbin Cui|Yuchuan Wu|Yongbin Li
| Anthology ID: | DBLP:conf/cikm/Fan0FCWL23 |
|---|---|
| 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: | 5031-5035 |
| URL: | https://doi.org/10.1145/3583780.3614745 |
| DOI: | https://doi.org/10.1145/3583780.3614745 |
| DBLP: | conf/cikm/Fan0FCWL23 |
| BibTeX: |
@inproceedings{fan-2023-learning,
author = {Yan Fan and
Chengyu Wang and
Fan Feng and
Hengbin Cui and
Yuchuan Wu and
Yongbin Li},
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 = {{Learning What to Ask: Mining Product Attributes for E-commerce Sales from Massive Dialogue Corpora}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {5031--5035},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3614745},
doi = {https://doi.org/10.1145/3583780.3614745}
}