How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility¶
Chaney, A. J. B., Stewart, B. M., & Engelhardt, B. E. (2018). How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility. ACM.
Cited by¶
1 citation across 1 artifact.
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Primes¶
- Selection-Visibility Gate
- Recommendation and marketplace systems: an item accrues feedback only where it is shown, and is shown on the strength of feedback it has already accrued, so the exposure policy determines which items ever become eligible to be judged good.
This sourceSimulates the exposure-feedback loop in which what a system shows determines what accrues evidence of being good.
- Recommendation and marketplace systems: an item accrues feedback only where it is shown, and is shown on the strength of feedback it has already accrued, so the exposure policy determines which items ever become eligible to be judged good.
Verification¶
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