GAN-based Matrix Factorization for Recommender Systems. (arXiv:2201.08042v1 [cs.IR])

Proposed in 2014, Generative Adversarial Networks (GAN) initiated a fresh
interest in generative modelling. They immediately achieved state-of-the-art in
image synthesis, image-to-image translation, text-to-image generation, image
inpainting and have been used in sciences ranging from medicine to high-energy
particle physics. Despite their popularity and ability to learn arbitrary
distributions, GAN have not been widely applied in recommender systems (RS).
Moreover, only few of the techniques that have introduced GAN in RS have
employed them directly as a collaborative filtering (CF) …

arxiv factorization gan recommender systems systems