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How Fair Can We Go

Research article (Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019) · cited 29× · AI/ML
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How Fair Can We Go

Summary

How Fair Can We Go is a scholarly article[1].

Key Facts

  • How Fair Can We Go's instance of is recorded as scholarly article[2].

Related Entities

Chirag Shah

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

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). How Fair Can We Go. Retrieved May 24, 2026, from https://4ort.xyz/entity/how-fair-can-we-go
MLA “How Fair Can We Go.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/how-fair-can-we-go.
BibTeX @misc{4ortxyz_how-fair-can-we-go_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{How Fair Can We Go}}, year = {2026}, url = {https://4ort.xyz/entity/how-fair-can-we-go}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): How Fair Can We Go — https://4ort.xyz/entity/how-fair-can-we-go (retrieved 2026-05-24)

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