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"8-10% of algorithmic recommendations are 'bad', but... an ..."
Martin Hilbert et al. (2024)
- Martin Hilbert, Arti Thakur, Pablo M. Flores
, Xiaoya Zhang, Jee Young Bhan, Patrick Bernhard, Feng Ji:
8-10% of algorithmic recommendations are 'bad', but... an exploratory risk-utility meta-analysis and its regulatory implications. Int. J. Inf. Manag. 75: 102743 (2024)
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