Adversarial Machine Learning in Recommender Systems (AML-RecSys)
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining Houston TX USA February, 2020, pp. 869-872, 2020.
Recommender systems (RS) are an integral part of many online services aiming to provide an enhanced user-oriented experience. Machine learning (ML) models are nowadays broadly adopted in modern state-of-the-art approaches to recommendation, which are typically trained to maximize a user-centred utility (e.g., user satisfaction) or a busin...More
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