49 citations · 97 across the 4 of their papers we have counts for
4 papers
Reliability quality measures for recommender systems
Jesús Bobadilla, Abraham Gutierrez, Fernando Ortega +1
Users want to know the reliability of the recommendations; they do not accept high predictions if there is no reliability evidence. Recommender systems should provide reliability v…
CF4J: Collaborative Filtering for Java
Fernando Ortega, Bo Zhu, Jesus Bobadilla +1
Recommender Systems (RS) provide a relevant tool to mitigate the information overload problem. A large number of researchers have published hundreds of papers to improve different…
An evaluation framework for dimensionality reduction through sectional curvature
Raúl Lara-Cabrera, Ángel González-Prieto, Diego Pérez-López +2
Unsupervised machine learning lacks ground truth by definition. This poses a major difficulty when designing metrics to evaluate the performance of such algorithms. In sharp contra…
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…