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Fairness-aware Methods in Rankings and Recommenders

Research article (2021 22nd IEEE International Conference on Mobile Data Management (MDM), 2021) · cited 17× · AI/ML
academia openalex:W3182127371
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Fairness-aware Methods in Rankings and Recommenders

Summary

Fairness-aware Methods in Rankings and Recommenders is a scholarly article[1].

Key Facts

  • Fairness-aware Methods in Rankings and Recommenders's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Fairness-aware Methods in Rankings and Recommenders. Retrieved May 24, 2026, from https://4ort.xyz/entity/fairness-aware-methods-in-rankings-and-recommenders
MLA “Fairness-aware Methods in Rankings and Recommenders.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fairness-aware-methods-in-rankings-and-recommenders.
BibTeX @misc{4ortxyz_fairness-aware-methods-in-rankings-and-recommenders_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fairness-aware Methods in Rankings and Recommenders}}, year = {2026}, url = {https://4ort.xyz/entity/fairness-aware-methods-in-rankings-and-recommenders}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fairness-aware Methods in Rankings and Recommenders — https://4ort.xyz/entity/fairness-aware-methods-in-rankings-and-recommenders (retrieved 2026-05-24)

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