49 citations · 227 across the 12 of their papers we have counts for
3 papers · 1 filter
Deep Neural Aggregation for Recommending Items to Group of Users
Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega +1
Modern society devotes a significant amount of time to digital interaction. Many of our daily actions are carried out through digital means. This has led to the emergence of numero…
Neural Group Recommendation Based on a Probabilistic Semantic Aggregation
Jorge Dueñas-Lerín, Raúl Lara-Cabrera, Fernando Ortega +1
Recommendation to groups of users is a challenging subfield of recommendation systems. Its key concept is how and where to make the aggregation of each set of user information into…
Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial Networks
Jesús Bobadilla, Abraham Gutiérrez, Raciel Yera +1
Research and education in machine learning needs diverse, representative, and open datasets that contain sufficient samples to handle the necessary training, validation, and testin…