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} }