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Comprehensive Evaluation of Matrix Factorization Models for Collaborative Filtering Recommender Systems
(International Journal of Interactive Multimedia and Artificial Intelligence, 2023-04)
Matrix factorization models are the core of current commercial collaborative filtering Recommender Systems. This paper tested six representative matrix factorization models, using four collaborative filtering datasets. ...
Testing Deep Learning Recommender Systems Models on Synthetic GAN-Generated Datasets
(International Journal of Interactive Multimedia and Artificial Intelligence, 2023-10)
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 ...