7 datasets found

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  • CSRN: Collaborative Sequential Recommendation Networks for News Retrieval

    The CSRN dataset is a collaborative sequential recommendation network for news retrieval.
  • Viadeo dataset

    Real-world data extracted from Viadeo, where skills are attached to user's profile. The objective of the recommendation systems consists in suggesting new skills to users.
  • Movie-10M

    The Movie-10M dataset is a large-scale collaborative filtering dataset, containing 71,567 movies and 10,677 users.
  • MSD

    The dataset used in this paper is a collaborative filtering dataset, specifically the Million Song Dataset (MSD), which contains listening counts from 1 million users on 50,000...
  • 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...
  • Neural Collaborative Filtering

    The dataset is used for neural collaborative filtering, which is a type of collaborative filtering that uses neural networks to learn the relationships between users and items.
  • ML-20M

    A recommender system generates personalized recommendations for a user by computing the preference score of items, sorting the items according to the score, and filtering top-K...