The Epinions dataset is a large-scale opinion mining dataset. It contains 1 million user-item interactions and is widely used for evaluating the performance of recommender systems.
The dataset used in this paper is a large-scale dataset for implicit feedback, consisting of user-item interactions, where each interaction is a pair of a user and an item.
The dataset used in the paper is Taobao2014, Taobao2015, Alibaba and Amazon. The dataset is used for implicit recommendation and contains user-item interactions.
