AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions.
Quoc-Tuan Truong|Tong Zhao|Changhe Yuan|Jin Li|Jim Chan|Soo-Min Pantel|Hady W. Lauw
| Anthology ID: | DBLP:conf/www/TruongZYLCPL22 |
|---|---|
| Volume: | WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 |
| Year: | 2022 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 2978-2988 |
| URL: | https://doi.org/10.1145/3485447.3512018 |
| DOI: | https://doi.org/10.1145/3485447.3512018 |
| DBLP: | conf/www/TruongZYLCPL22 |
| BibTeX: |
@inproceedings{truong-2022-ampsum,
author = {Quoc-Tuan Truong and
Tong Zhao and
Changhe Yuan and
Jin Li and
Jim Chan and
Soo-Min Pantel and
Hady W. Lauw},
editor = {Fr\'{e}d\'{e}rique Laforest and
Rapha\"{e}l Troncy and
Elena Simperl and
Deepak Agarwal and
Aristides Gionis and
Ivan Herman and
Lionel M\'{e}dini},
title = {{AmpSum: Adaptive Multiple-Product Summarization towards Improving Recommendation Captions}},
booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}},
pages = {2978--2988},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3485447.3512018},
doi = {https://doi.org/10.1145/3485447.3512018}
}