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A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks [article]

Yashar Deldjoo and Tommaso Di Noia and Felice Antonio Merra
2020 arXiv   pre-print
Latent-factor models (LFM) based on collaborative filtering (CF), such as matrix factorization (MF) and deep CF methods, are widely used in modern recommender systems (RS) due to their excellent performance  ...  This review serves as a reference for the RS community, working on the security of RS or on generative models using GANs to improve their quality.  ...  on class conditioning on both the generator and discriminator) [100] .  ... 
arXiv:2005.10322v2 fatcat:4wqcluqgnbbwpkicunn42et5te