This work analyses the decision-making process underlying choice behaviour. First, neural and gaze activity were recorded experimentally from different subjects performing a choice task in a Web Interface. Second, choice models and ensembles were fitted using rational, emotional, and attentional features. The model's predictions were evaluated in terms of their accuracy and rankings were made for each user. The results show that (a) the attentional models are the best in terms of its average performance across all users, (b) each subject shows a different best model, and (c) ensembles may perform better than single choice models but an optimal building method has to be found.

中文翻译：

---

推荐系统的理性，情感和注意力模型

这项工作分析了选择行为背后的决策过程。首先，实验性记录了在Web界面中执行选择任务的不同受试者的神经和凝视活动。其次，使用理性，情感和注意力特征来拟合选择模型和合奏。根据模型的预测准确性和每个用户的排名对其进行评估。结果表明，（a）注意模型在所有用户中的平均表现方面是最佳的；（b）每个主题都显示出不同的最佳模型；（c）集合的效果可能比单选模型更好，但构建效果最佳必须找到方法。