Efficient and Practical Approximation Algorithms for Advertising in Content Feeds.

Guangyi Zhang|Ilie Sarpe|Aristides Gionis


Anthology ID:DBLP:conf/www/0001SG25
Volume:Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:3193-3203
URL:https://doi.org/10.1145/3696410.3714902
DOI:https://doi.org/10.1145/3696410.3714902
DBLP:conf/www/0001SG25
BibTeX:
@inproceedings{zhang-2025-efficient, author = {Guangyi Zhang and Ilie Sarpe and Aristides Gionis}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Efficient and Practical Approximation Algorithms for Advertising in Content Feeds}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {3193--3203}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714902}, doi = {https://doi.org/10.1145/3696410.3714902} }