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News/Towards Reliable Recommender Systems for Rating Data
arxiv
PublishedJune 29, 2026 at 4:00 AM
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Towards Reliable Recommender Systems for Rating Data

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arXiv:2412.20802v3 Announce Type: replace-cross Abstract: Recommender systems are widely used in the digital landscape to match users with content fitting their preferences. However, growing concerns about fake accounts, strategic manipulation, and other deceptive online behavior place increasing pr

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