5 datasets found

Groups: Recommendation Tags: Recommendation

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  • ML-1M

    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.

  • Yelp-2018

    Yelp-2018 dataset is a real-world dataset for recommender systems, containing user-item interactions.

  • Amazon-Toys-and-Games

    Amazon-Toys-and-Games dataset is a real-world dataset for recommender systems, containing user-item interactions.

  • Amazon-Beauty

    Amazon-Beauty dataset is a real-world dataset for recommender systems, containing user-item interactions.

  • Yelp Dataset

    The Yelp Dataset contains 1.6M reviews and 500K tips by 366K users for 61K businesses; 481K business attributes, such as hours, parking availability, ambience; and check-ins for...
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