I'd like to share with you our recent publication on the prestigious journal Foundations and Trends in Machine Learning,

Benavoli A, Azzimonti D (2026), “A tutorial on learning from preferences and choices with Gaussian processes”.

The PDF is also here   https://arxiv.org/pdf/2403.11782

which focuses on learning utility functions from preferences and choices data to predict future preferences/choices of a subject based on her past behavior. We use choice functions to model a subject who must select from items that may be incomparable due to trade-offs, leading to imprecise models. We discuss rationality and deviations from rationality.
Using simple running examples, we explain the choice situations the decision-maker faces and the various models. Finally, Chapter 6 focuses on real-applications of the introduced models, including the use of preferences to predict tennis match results.

I hope you enjoy reading it.

Best regards,
Alessio