Sequential recommendation datasets

Beauty Dataset：The Beauty dataset contains user behavior records related to purchasing beauty products on the Amazon platform. The dataset includes users’purchase history, product reviews, ratings, and metadata. Researchers use the dataset to develop and evaluate recommendation system models, particularly sequential recommendation models.  Toys Dataset:The Amazon Toys dataset records user behavior related to purchasing toys on the Amazon platform. The dataset includes users’purchase records, product reviews, ratings, and metadata. Researchers also use this dataset to train and evaluate recommendation system models, especially sequential recommendation models. This dataset helps study user purchasing behavior patterns and improves the accuracy and robustness of recommendation systems. Yelp DatasetThe Yelp dataset contains user reviews and ratings of businesses on the Yelp platform. The dataset includes detailed information about businesses, user reviews, ratings, check-in records, and photos. Researchers use the dataset to develop and evaluate recommendation system models, particularly sequential recommendation models. This dataset helps researchers understand user preferences and behavior patterns, thereby improving the performance of recommendation systems.