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} }