The Unfairness of Popularity Bias in Recommendation¶
Abdollahpouri, H., Mansoury, M., Burke, R., & Mobasher, B. (2019). The Unfairness of Popularity Bias in Recommendation.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Majority-Dominated Aggregate Objective
- Regulatory triage — expected-value risk calculations dominated by common-risk volume under-attend to tail-risk events. Education metrics — class-mean or median-pass-rate metrics are dominated by the middle of the distribution; struggling and exceptional students are equally invisible. Recommendation systems — popularity-weighted ranking biases toward the head of the long tail; niche content with high per-user value is starved.
This sourceShows recommender systems over-expose popular head items and underserve high-value long-tail (niche) content, with per-group reweighting/re-ranking as a remedy.
- Regulatory triage — expected-value risk calculations dominated by common-risk volume under-attend to tail-risk events. Education metrics — class-mean or median-pass-rate metrics are dominated by the middle of the distribution; struggling and exceptional students are equally invisible. Recommendation systems — popularity-weighted ranking biases toward the head of the long tail; niche content with high per-user value is starved.
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