Controlling Popularity Bias in Learning-to-Rank Recommendation¶
Abdollahpouri, H., Burke, R., & Mobasher, B. (2017). Controlling Popularity Bias in Learning-to-Rank Recommendation. Proceedings of the Eleventh ACM Conference on Recommender Systems, 42-46.
Cited by¶
1 citation across 1 artifact.
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Mechanisms¶
- Recommendation Diversity Constraint
- It is the direct counter to popularity bias
This sourceIdentifies recommender-system popularity bias and proposes a learning-to-rank control that reduces the dominance of already-popular items.
- It is the direct counter to popularity bias
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Registry ID ref:d92a10889243 · see in the full table