InterQuest: A Mixed-Initiative Framework for Dynamic User Interest Modeling in Conversational Search

User Knowledge Modeling, which infers and adjusts the content and scope of User-Centric Knowledge, and (2) Uncertainty-Driven Questioning, where InterQuest proactively asks questions to resolve knowledge uncertainties. A user study with 18 participants demonstrates that InterQuest outperforms the baselines in user interest inference, accuracy of user knowledge modeling, and the overall information-seeking experience. Additionally, our findings provide valuable design implications for improving mixed-initiative user modeling in future systems.