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A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research

Source
ACM Digital Library (TOPS, DTRAP, CSUR)(opens in a new tab)
Published
Record updated
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Summary

A survey in ACM Computing Surveys (Volume 58, Issue 14, pages 1-39, October 2026) covers fairness, bias, threats, and privacy in recommender systems. The source text provided gives no further detail on its methods or findings.