AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker Prevention.
Kiho Lee|Chaejin Lim|Beomjin Jin|Taeyoung Kim|Hyoungshick Kim
| Anthology ID: | DBLP:conf/www/LeeLJKK24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1902-1913 |
| URL: | https://doi.org/10.1145/3589334.3645698 |
| DOI: | https://doi.org/10.1145/3589334.3645698 |
| DBLP: | conf/www/LeeLJKK24 |
| BibTeX: |
@inproceedings{lee-2024-adflush,
author = {Kiho Lee and
Chaejin Lim and
Beomjin Jin and
Taeyoung Kim and
Hyoungshick Kim},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker Prevention}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {1902--1913},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645698},
doi = {https://doi.org/10.1145/3589334.3645698}
}