Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial Networks

Research and education in machine learning needs diverse, representative, and open datasets that contain sufficient samples to handle the necessary training, validation, and testing tasks. Currently, the Recommender Systems area includes a large number of subfields in which accuracy and beyond accur...

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Veröffentlicht in:	arXiv.org 2023-03
Hauptverfasser:	Bobadilla, Jesús, Gutiérrez, Abraham, Yera, Raciel, Martínez, Luis
Format:	Artikel
Sprache:	eng
Schlagworte:	Clustering Collaboration Datasets Filtration Generative adversarial networks Machine learning Parameterization Recommender systems Synthetic data
Online-Zugang:	Volltext
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