Theory and Toolkits for User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation.
Krisztian Balog|Nolwenn Bernard|Saber Zerhoudi|ChengXiang Zhai
| Anthology ID: | DBLP:conf/sigir/BalogBZZ25 |
|---|---|
| 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: | 4138-4141 |
| URL: | https://doi.org/10.1145/3726302.3731697 |
| DOI: | https://doi.org/10.1145/3726302.3731697 |
| DBLP: | conf/sigir/BalogBZZ25 |
| BibTeX: |
@inproceedings{balog-2025-theory,
author = {Krisztian Balog and
Nolwenn Bernard and
Saber Zerhoudi and
ChengXiang Zhai},
editor = {Nicola Ferro and
Maria Maistro and
Gabriella Pasi and
Omar Alonso and
Andrew Trotman and
Suzan Verberne},
title = {{Theory and Toolkits for User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation}},
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 = {4138--4141},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3726302.3731697},
doi = {https://doi.org/10.1145/3726302.3731697}
}