10 citations · 12 across the 4 of their papers we have counts for
4 papers
Rating and aspect-based opinion graph embeddings for explainable recommendations
Iván Cantador, Andrés Carvallo, Fernando Diez
The success of neural network embeddings has entailed a renewed interest in using knowledge graphs for a wide variety of machine learning and information retrieval tasks. In partic…
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations
Iván Cantador, Andrés Carvallo, Fernando Diez +1
The success of neural network embeddings has entailed a renewed interest in using knowledge graphs for a wide variety of machine learning and information retrieval tasks. In partic…
Analysing the Effect of Recommendation Algorithms on the Amplification of Misinformation
Miriam Fernández, Alejandro Bellogín, Iván Cantador
Recommendation algorithms have been pointed out as one of the major culprits of misinformation spreading in the digital sphere. However, it is still unclear how these algorithms re…
Exploiting Heavy Tails in Training Times of Multilayer Perceptrons: A Case Study with the UCI Thyroid Disease Database
Manuel Cebrian, Ivan Cantador
The random initialization of weights of a multilayer perceptron makes it possible to model its training process as a Las Vegas algorithm, i.e. a randomized algorithm which stops wh…