62 datasets found

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

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

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

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

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.

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

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 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...

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

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...

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 is a network of user-movie ratings

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

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...

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...

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

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

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...

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

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...