6 datasets found

Formats: JSON Tags: Recommendation systems

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  • Yahoo!Movies dataset

    The dataset used in this paper is Yahoo!Movies dataset provided by Yahoo!Research Alliance Webscope program.

  • 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.

  • MovieLens-100k

    The dataset used in the paper is a user-item bipartite graph, where each user and item is represented as a node, and the edges between them represent the interactions between...

  • MovieLens

    The dataset is a movie review dataset with five types of nodes (movie, director, tag, writer, and user) and four types of edges (movie-director relation, movie-tag relation,...

  • Yelp2018, Amazon-book, and Alibaba-iFashion

    The dataset used in the paper is Yelp2018, Amazon-book, and Alibaba-iFashion. These datasets are used for top-k recommendation tasks.

  • CTR Prediction Models

    The dataset used in this paper is a real-world online sponsor advertising application, containing user click history logs from Baidu’s search engine.
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