User modeling and user profiling: A comprehensive survey

E Purificato, L Boratto, EW De Luca - arxiv preprint arxiv:2402.09660, 2024 - arxiv.org
The integration of artificial intelligence (AI) into daily life, particularly through information
retrieval and recommender systems, has necessitated advanced user modeling and …

The SimIIR 2.0 framework: user types, Markov model-based interaction simulation, and advanced query generation

S Zerhoudi, S Günther, K Plassmeier, T Borst… - Proceedings of the 31st …, 2022 - dl.acm.org
Simulated user retrieval system interactions enable studies with controlled user behavior. To
this end, the SimIIR framework offers static, rule-based methods. We present an extended …

[PDF][PDF] Beyond Conventional Metrics: Assessing User Simulators in Information Retrieval

S Zerhoudi, M Granitzer - Proc. of the 14th Italian Information Retrieval …, 2024 - ceur-ws.org
Traditional evaluation methods for user simulators in Information Retrieval systems have
limitations in assessing their reliability for comparative analysis. To address this, we apply …