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}
}