A ML-based Approach for HTML-based Style Recommendation.
Ryan Aponte|Ryan A. Rossi|Shunan Guo|Jane Hoffswell|Nedim Lipka|Chang Xiao|Gromit Yeuk-Yin Chan|Eunyee Koh|Nesreen K. Ahmed
| Anthology ID: | DBLP:conf/www/AponteRGHLXCKA23 |
|---|---|
| Volume: | Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 9-13 |
| URL: | https://doi.org/10.1145/3543873.3587300 |
| DOI: | https://doi.org/10.1145/3543873.3587300 |
| DBLP: | conf/www/AponteRGHLXCKA23 |
| BibTeX: |
@inproceedings{aponte-2023-mlbased,
author = {Ryan Aponte and
Ryan A. Rossi and
Shunan Guo and
Jane Hoffswell and
Nedim Lipka and
Chang Xiao and
Gromit Yeuk-Yin Chan and
Eunyee Koh and
Nesreen K. Ahmed},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{A ML-based Approach for HTML-based Style Recommendation}},
booktitle = {{Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {9--13},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543873.3587300},
doi = {https://doi.org/10.1145/3543873.3587300}
}