Saavedra, P., Barreiro, P., Duran, R., Crujeiras, R., Loureiro, M., & Vila, E. S. (2016). "Choice-Based Recommender Systems". In RecTour@ RecSys (pp. 38-46).

Abstract

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. Specifically, random utility models were applied in a recommendation problem. Prediction accuracy was compared with state-of-art ratingbased 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