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Fair Learning-to-Rank from Implicit Feedback.
13 references·2 citing·32 second hop
Fair Learning-to-Rank from Implicit Feedback. (2019)Fair Learning-to-Rank from Implicit Feedb…Reducing Disparate Exposure in Ranking: A Learning To Rank Approach (2020)Reducing Disparate Exposure i…Pairwise Fairness for Ranking and Regression (2020)Pairwise Fairness for Ranking…Fairness for Robust Log Loss Classification (2020)Fairness for Robust Log Loss …Policy Learning for Fairness in Ranking (2019)Policy Learning for Fairness …Fairness in Recommendation Ranking through Pairwise Comparisons (2019)Fairness in Recommendation Ra…Online Learning with an Unknown Fairness Metric (2018)Online Learning with an Unkno…Fairness of Exposure in Rankings (2018)Fairness of Exposure in Ranki…Ranking with Fairness Constraints (2017)Ranking with Fairness Constra…Measuring Fairness in Ranked Outputs (2017)Measuring Fairness in Ranked …FA*IR (2017)FA*IRA Convex Framework for Fair Regression (2017)A Convex Framework for Fair R…Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market (2006)Experimental Study of Inequal…Individual Choice Behavior: A Theoretical Analysis. (1960)Individual Choice Behavior: A…The Role of Relevance in Fair Ranking (2023)The Role of Relevance in Fair…Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract) (2021)Controlling Fairness and Bias…Foundations of social theory (1990)Social Mechanisms (1998)Social Influence: Compliance and Conformity (2004)Cumulative Advantage as a Mechanism for Inequality: A Review of Theoretical and Empirical Developments (2006)Computational Social Science (2009)A 61-million-person experiment in social influence and political mobilization (2012)Fairness through awareness (2012)Learning Fair Representations (2013)On the (im)possibility of fairness (2016)Mitigating bias in algorithmic hiring (2020)Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education (2022)Fairness in Machine Learning: A Survey (2023)The Proof and Measurement of Association between Two Things (1904)Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons (1952)Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search (2019)Equality of Opportunity in Supervised Learning (2016)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle (2021)A Survey on Bias and Fairness in Machine Learning (2021)Big Data's Disparate Impact (2014)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2017)Algorithmic content moderation: Technical and political challenges in the automation of platform governance (2020)Bias in computer systems (1996)Fairness in rankings and recommendations: an overview (2021)Fairness in Ranking, Part I: Score-Based Ranking (2022)Exposure to ideologically diverse news and opinion on Facebook (2015)A Review on Fairness in Machine Learning (2022)Fairness in recommender systems: research landscape and future directions (2023)Equity of Attention (2018)Elimination by aspects: A theory of choice. (1972)Discrete Choice Methods with Simulation (2001)Increasing Returns and Path Dependence in the Economy (2016)
this work references cited by second hop

References

  • 1960Individual Choice Behavior: A Theoretical Analysis.2,504 cited
  • 2006Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market2,229 cited
  • 2018Fairness of Exposure in Rankings611 cited
  • 2017FA*IR497 cited
  • 2017Measuring Fairness in Ranked Outputs378 cited
  • 2019Fairness in Recommendation Ranking through Pairwise Comparisons374 cited
  • 2017Ranking with Fairness Constraints236 cited
  • 2017A Convex Framework for Fair Regression198 cited
  • 2020Reducing Disparate Exposure in Ranking: A Learning To Rank Approach159 cited
  • 2019Policy Learning for Fairness in Ranking103 cited
  • 2020Pairwise Fairness for Ranking and Regression84 cited
  • 2018Online Learning with an Unknown Fairness Metric73 cited
  • 2020Fairness for Robust Log Loss Classification42 cited

Cited by

  • 2023The Role of Relevance in Fair Ranking10 cited
  • 2021Controlling Fairness and Bias in Dynamic Learning-to-Rank (Extended Abstract)10 cited

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