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} }