Choice-based models are proposed to overcome some of the
limitations found in traditional rating-based strategies. The
new approach is grounded on decision-making paradigms,
such as choice and utility theories. Specically, random
utility models were applied in a recommendation problem.
Prediction accuracy was compared with state-of-art rating-
based algorithms in a gastronomy dataset. The results show
the superior performance of choice-based models, which may
suggest that real choices could bring more predictive power
than ratings.
Keywords: Choice models, Random Utility Models, Logit probabilities, Tourism