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Pairwise Fairness in Ranking as a Dissatisfaction Measure
16 references·0 citing·37 second hop
Pairwise Fairness in Ranking as a Dissatisfaction Measure (2023)Pairwise Fairness in Ranking as a Dissati…Measuring Fairness in Ranked Results (2022)Measuring Fairness in Ranked …Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems (2022)Fairness in Ranking, Part II:…Fairness in Ranking, Part I: Score-Based Ranking (2022)Fairness in Ranking, Part I: …Platform quality factors influencing content providers’ loyalty (2021)Platform quality factors infl…Measurement and Fairness (2021)Measurement and FairnessFair Top-k Ranking with multiple protected groups (2021)Fair Top-k Ranking with multi…Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs (2021)Designing Disaggregated Evalu…Pairwise Fairness for Ranking and Regression (2020)Pairwise Fairness for Ranking…Interventions for ranking in the presence of implicit bias (2020)Interventions for ranking in …Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Fairness in Recommendation Ra…Designing Fair Ranking Schemes (2019)Designing Fair Ranking SchemesFairness of Exposure in Rankings (2018)Fairness of Exposure in Ranki…Equity of Attention (2018)Equity of AttentionMeasuring Fairness in Ranked Outputs (2017)Measuring Fairness in Ranked …FA*IR (2017)FA*IRA NEW MEASURE OF RANK CORRELATION (1938)A NEW MEASURE OF RANK CORRELA…Fairness through awareness (2012)Learning Fair Representations (2013)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)A snapshot of the frontiers of fairness in machine learning (2020)Big Data's Disparate Impact (2014)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Fairwalk: Towards Fair Graph Embedding (2019)iFair: Learning Individually Fair Data Representations for Algorithmic Decision Making (2019)Certifying and Removing Disparate Impact (2015)FairSight: Visual Analytics for Fairness in Decision Making (2019)Policy Learning for Fairness in Ranking (2019)Fairness in rankings and recommendations: an overview (2021)Equality of Opportunity in Supervised Learning (2016)Mitigating Unwanted Biases with Adversarial Learning (2018)An empirical characterization of fair machine learning for clinical risk prediction (2020)Reducing Disparate Exposure in Ranking: A Learning To Rank Approach (2020)Fairness in recommender systems: research landscape and future directions (2023)Objective Tests as Instruments of Psychological Theory (1957)Algorithmic Decision Making and the Cost of Fairness (2017)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Towards a critical race methodology in algorithmic fairness (2020)Can HR adapt to the paradoxes of artificial intelligence? (2022)Auditing large language models: a three-layered approach (2023)A theory of justice original editionMapping the Margins: Intersectionality, Identity Politics, and Violence against Women of Color (1991)A Survey on Bias and Fairness in Machine Learning (2021)A Systematic Review of Fairness, Accountability, Transparency, and Ethics in Information Retrieval (2023)On (assessing) the fairness of risk score models (2023)AI alignment: Assessing the global impact of recommender systems (2024)Black Feminist Thought: Knowledge, Consciousness, and the Politics of Empowerment. (1992)Fairness of recommender systems in the recruitment domain: an analysis from technical and legal perspectives (2023)Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation. (2024)A Taxonomy of Organizational Justice Theories (1987)Bias in Bios (2019)An effect size primer: A guide for clinicians and researchers. (2009)Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data (2011)Econometric measures of connectedness and systemic risk in the finance and insurance sectors (2012)
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References

  • 1938A NEW MEASURE OF RANK CORRELATION7,315 cited
  • 2018Fairness of Exposure in Rankings607 cited
  • 2017FA*IR497 cited
  • 2017Measuring Fairness in Ranked Outputs378 cited
  • 2019Fairness in Recommendation Ranking through Pairwise Comparisons369 cited
  • 2021Measurement and Fairness362 cited
  • 2018Equity of Attention337 cited
  • 2019Designing Fair Ranking Schemes159 cited
  • 2022Fairness in Ranking, Part I: Score-Based Ranking94 cited
  • 2022Fairness in Ranking, Part II: Learning-to-Rank and Recommender Systems87 cited
  • 2020Pairwise Fairness for Ranking and Regression84 cited
  • 2020Interventions for ranking in the presence of implicit bias77 cited
  • 2022Measuring Fairness in Ranked Results74 cited
  • 2021Designing Disaggregated Evaluations of AI Systems: Choices, Considerations, and Tradeoffs71 cited
  • 2021Fair Top-k Ranking with multiple protected groups59 cited
  • 2021Platform quality factors influencing content providers’ loyalty57 cited

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