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Trustworthy Recommender Systems. (arXiv:2208.06265v1 [cs.IR])
Aug. 15, 2022, 1:20 a.m. | Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci
cs.CR updates on arXiv.org arxiv.org
Recommender systems (RSs) aim to help users to effectively retrieve items of
their interests from a large catalogue. For a quite long period of time,
researchers and practitioners have been focusing on developing accurate RSs.
Recent years have witnessed an increasing number of threats to RSs, coming from
attacks, system and user generated noise, system bias. As a result, it has
become clear that a strict focus on RS accuracy is limited and the research
must consider other important factors, …
More from arxiv.org / cs.CR updates on arXiv.org
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