62 datasets found

Groups: Recommender Systems Formats: JSON

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  • Diffusion Recommender Model

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

  • Movielens Tag Genome dataset

    The Movielens Tag Genome dataset contains 3952 movies, 6040 users and 1 million ratings.

  • MART dataset

    The MART dataset contains 500 art pieces by professional artists and 10 thousand ratings by 100 people (74 females, ages 18–65).

  • 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

  • Towards Question-based Recommender Systems

    Conversational and question-based recommender systems have gained increasing attention in recent years, with users enabled to converse with the system and better control...

  • 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...

  • Recommender Systems Dataset

    The dataset consists of data from seven participants whose response times ranged from 4 to 429 seconds. The dataset includes information about the participant, the response...

  • Yahoo

    The Yahoo dataset used for training and testing the proposed model, containing leaked passwords.

  • Book-Crossing

    The Book-Crossing dataset is a book rating dataset that contains rating records of books by users from the Book-Crossing community.

  • KuaiRec-big

    The KuaiRec-big dataset is a recommender system dataset jointly released by the University of Science and Technology of China and the Kuaishou Community Science Research...

  • Yelp2018

    The dataset used in this paper for recommendation system, it is a bipartite graph of user-item interactions.

  • 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...