首页|Findings from Polytechnic University of Madrid in Artificial Intelligence Reported (Testing Deep Learning Recommender Systems Models On Synthetic Gan-generated Datasets)
Findings from Polytechnic University of Madrid in Artificial Intelligence Reported (Testing Deep Learning Recommender Systems Models On Synthetic Gan-generated Datasets)
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NETL
NSTL
Univ Int Rioja-Unir
Current study results on Machine Learning - Artificial Intelligence have been published. According to news reporting originating from Madrid, Spain, by NewsRx correspondents, research stated, “The published method Generative Adversarial Networks for Recommender Systems (GANRS) allows generating data sets for collaborative filtering recommendation systems. The GANRS source code is available along with a representative set of generated datasets.” Financial supporters for this research include Spanish Government, Comunidad de Madrid under Convenio Plurianual with the Universidad Politecnica de Madrid. Our news editors obtained a quote from the research from the Polytechnic University of Madrid, “We have tested the GANRS method by creating multiple synthetic datasets from three different real datasets taken as a source. Experiments include variations in the number of users in the synthetic datasets, as well as a different number of samples. We have also selected six state-of-the-art collaborative filtering deep learning models to test both their comparative performance and the GANRS method. The results show a consistent behavior of the generated datasets compared to the source ones; particularly, in the obtained values and trends of the precision and recall quality measures. The tested deep learning models have also performed as expected on all synthetic datasets, making it possible to compare the results with those obtained from the real source data.”
MadridSpainEuropeArtificial IntelligenceMachine LearningPolytechnic University of Madrid
NETL
NSTL
Univ Int Rioja-Unir
