Канал: Fairness and Bias in Information Retrieval

Amifa Raj, Comparing Fair Ranking Metrics

Amifa Raj, Comparing Fair Ranking Metrics

Carlos Castillo, Fairness in Ranking

Carlos Castillo, Fairness in Ranking

Frank Hopfgartner, Promoting Algorithmic Transparency in Information Access

Frank Hopfgartner, Promoting Algorithmic Transparency in Information Access

Pablo Castells, Bias in recommendation: avoid it or embrace it?

Pablo Castells, Bias in recommendation: avoid it or embrace it?

Debasis Ganguly, Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning

Debasis Ganguly, Towards Socially Responsible AI: Cognitive Bias-Aware Multi-Objective Learning

Claudia Hauff, SIREN: Simulation Framework for Understanding Effects of RecSys in News Environments

Claudia Hauff, SIREN: Simulation Framework for Understanding Effects of RecSys in News Environments

Tim Gollins, The Challenges of Fair Retrieval in Archives and the Public Sector

Tim Gollins, The Challenges of Fair Retrieval in Archives and the Public Sector

Rishabh Mehrotra, Diversity & Fairness in multi-stakeholder Marketplaces

Rishabh Mehrotra, Diversity & Fairness in multi-stakeholder Marketplaces

Maarten de Rijke, Actionable Interpretability

Maarten de Rijke, Actionable Interpretability

Leif Azzopardi, The Fairness Hypothesis: Is fairer, better?

Leif Azzopardi, The Fairness Hypothesis: Is fairer, better?