36 datasets found

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  • MovieLens 1M dataset

    The dataset used in this paper is the MovieLens 1M dataset, which contains a 1M 1-5 star ratings by 6,040 users for 3,952 movies.

  • MovieLens-100K and MovieLens-ml-latest-small

    The MovieLens-100K and MovieLens-ml-latest-small datasets are used to evaluate the effectiveness of the proposed detection method.

  • Anime

    The dataset is a two-mode tensor depicting binary (user, anime) preferences. The tensor contains 1, 300, 160 observed entries, of size 25, 838 × 4, 066.

  • MovieLens1M, Anime

    A dataset of movie ratings, a dataset of anime ratings.

  • Amazon dataset

    The Amazon dataset is used to evaluate the performance of the proposed approach. It consists of 2000 users, 1500 items, 86690 reviews, 7219 number ratings, 3.6113 average number...

  • Netflix

    A dataset for interactive recommender systems, used to evaluate the proposed Tree-structured Policy Gradient Recommendation (TPGR) framework.

  • Epinions

    The Epinions dataset is a large-scale opinion mining dataset. It contains 1 million user-item interactions and is widely used for evaluating the performance of recommender systems.

  • YAGO3-10

    Knowledge graphs are composed of different elements: entity nodes, relation edges, and literal nodes. Each literal node contains an entity’s attribute value (e.g. the height of...

  • DiffRec, L-DiffRec, and T-DiffRec datasets

    DiffRec, L-DiffRec, and T-DiffRec datasets.

  • Diffusion Recommender Model

    Diffusion Recommender Model, which infers users’ interaction probabilities in a denoising manner.

  • MovieLens100K and MovieLens1M datasets

    The MovieLens100K and MovieLens1M datasets are used to evaluate the proposed method.

  • MovieLens 1M

    The associated task is to predict the movie rating on a 5-star scale. This dataset contains 6,040 users, 3,900 movies, and 1,000,209 ratings, i.e., rating matrix is 4.26% full.

  • MovieLens 1 Million Dataset and LDOS-CoMoDa Dataset

    The dataset used in the paper is MovieLens 1 Million Dataset and LDOS-CoMoDa Dataset

  • CiteULike

    CiteULike is a user-article dataset, where each article has a 300-dimension tf-idf vector. XING is a user-view-job dataset where each job is described by a 2738-dimension...

  • Pinterest

    The dataset used in the paper is a collection of implicit interactions gathered from various sources, including social networks and online communities.

  • BookCrossing

    The dataset used in the paper is a collection of explicit interactions gathered from various sources, including music websites, movie ratings, book clubs, social networks, and...

  • Movielens1M

    The dataset used in the paper is a collection of implicit interactions gathered from various sources, including music websites, movie ratings, book clubs, social networks, and...

  • Movielens-100k dataset

    Movielens-100k dataset is a network of user-movie ratings

  • Yelp Challenge Dataset and IMDB corpus of movie reviews

    The dataset used in the paper is the Yelp Challenge Dataset and the IMDB corpus of movie reviews.

  • LastFM

    The dataset used in the paper is a collection of explicit interactions gathered from various sources, including music websites, movie ratings, book clubs, social networks, and...
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