User Profiling and Its Dynamics: A Narrative Review
Abstract
User profiling is the process of constructing a structured representation of the user within a system, including information such as preferences, behaviors, and characteristics. This narrative review explores the evolution of user profiling techniques, focusing specifically on the mechanisms that allow profiles to change over time (dynamics). We examine various approaches, from traditional machine learning to modern knowledge-based methods, including the application of belief revision theories. The review highlights the importance of explainability and feature selection in creating robust, adaptive user representations that can support decision-making across diverse domains such as cognitive rehabilitation and personalized recommendations.
More information
- Authors
- Diogo Nuno Freitas; Katherin Varela; Eduardo Fermé
- Date
- 2026
- Journal
- The European Journal on Artificial Intelligence
- Publisher
- Sage (on behalf of the European Association for Artificial Intelligence)
- Source
- Link
Citation
@article{freitas2026user,
author = {Freitas, Diogo Nuno and Varela, Katherin and Fermé, Eduardo},
doi = {10.1177/30504554251407092},
journal = {The European Journal on Artificial Intelligence},
title = {User Profiling and Its Dynamics: A Narrative Review},
year = {2026}
}
