Sequential recommendation datasets

This dataset is a sequential recommendation dataset that includes three sub-datasets: Beauty, Toys, and Yelp, specifically designed for research and development in recommendation systems. All datasets have been pre-processed, allowing users to directly input them into the main program for use. These datasets are ready for experiments involving user-item interactions and can be used to train and evaluate recommendation algorithms. The command to run the datasets is: . The Beauty, Toys, and Yelp datasets reflect user interactions and ratings with a variety of products, making them suitable for diverse recommendation tasks.python main.py --data_name [dataset_name]