AdSight: Scalable and Accurate Quantification of User Attention in Multi-Slot Sponsored Search.

Mario Villaizán-Vallelado|Matteo Salvatori|Kayhan Latifzadeh|Antonio Penta|Luis A. Leiva|Ioannis Arapakis


Anthology ID:DBLP:conf/sigir/Villaizan-Vallelado25
Volume:Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
Year:2025
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:255-265
URL:https://doi.org/10.1145/3726302.3729891
DOI:https://doi.org/10.1145/3726302.3729891
DBLP:conf/sigir/Villaizan-Vallelado25
BibTeX:
@inproceedings{villaizanvallelado-2025-adsight, author = {Mario Villaiz\'{a}n-Vallelado and Matteo Salvatori and Kayhan Latifzadeh and Antonio Penta and Luis A. Leiva and Ioannis Arapakis}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{AdSight: Scalable and Accurate Quantification of User Attention in Multi-Slot Sponsored Search}}, booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}}, pages = {255--265}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3729891}, doi = {https://doi.org/10.1145/3726302.3729891} }