Research has revealed the potential of recording consumers’ eye movements to characterize and predict their decision making. In this paper, we propose the use of a deep learning architecture, called RETINA, to predict multi-alternative, multi-attribute consumer choice from eye movement data....

Many successful recommendation approaches rely on the optimization of a single objective function for a single stakeholder (i.e., the customer) based on customer-product interaction records. In this paper, we argue that for two-sided marketplaces such as music streaming platforms, it is more...