Dataset Entries from this Author

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: .
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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:
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