TL;DR本文提出了一种可解释性的 Restricted Boltzmann Machines (RBM) 协同过滤方法,该方法能够从可解释的项目中计算出前 n 个推荐列表,并证明了该方法能够生成准确而可解释的推荐结果。
Abstract
Most accurate recommender systems are black-box models, hiding the reasoning
behind their recommendations. Yet explanations have been shown to increase the
user's trust in the system in addition to providing othe