Guoqing Bu

Co-Attentive Multi-Task Learning for Explainable Recommendation

2019

Despite widespread adoption, recommender systems remain mostly black boxes. Recently, providing explanations about why items are recommended has attracted increasing attention due to its capability to enhance user trust and satisfaction. In this paper, we …