Preprint Open access
Beyond States: Investigating the Effects of Context on User Modeling with Feature-Conditioned Markov Models
User behavior simulation is widely used to evaluate interactive information retrieval systems, but classical state-based approaches (e.g., Markov models) have limited ability to incorporate contextual information relevant for decision-making. We address this limitation by introducing a feature-conditioned Markov-style …