product recommendation

This dataset contains a Magazine_Subscriptions.csv and a Gift_Card.csv, both of which contains a column of item id, a column of user(reviewer) id, a column of user rating, and a column of reviewed time. This data is originally collected by Ni, Jianmo, Jiacheng Li, and Julian McAuley in “Justifying Recommendations Using Distantly-Labeled Reviews and Fine-Grained Aspects,” proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019.