Adversarial Machine Learning in Recommender Systems: State of the art and Challenges

Deldjoo Yashar
Deldjoo Yashar
Merra Felice Antonio
Merra Felice Antonio
Cited by: 0|Bibtex|Views9|Links

Abstract:

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 and recommendation accuracy. Notwithstanding their great success, in recent years, it has been shown that these methods are vulnera...More

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