What is bias in recommendation systems?

Updated May 16, 2026

Short answer

Bias refers to systematic errors that skew recommendations unfairly.

Deep explanation

Bias can arise from popularity bias, exposure bias, selection bias, or position bias. These distort training data and lead to unfair or suboptimal recommendations. Debiasing techniques include reweighting, causal modeling, and exploration strategies.

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