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Fairness, Bias, and Research Governance / Fairness in Recommendation and Ranking Systems

When multiple people decide together, recommendation systems struggle to help reach consensus.

lightbulbPractical problemFairness in Recommendation and Ranking Systems

When multiple people decide together, recommendation systems struggle to help reach consensus.

CUI '24A Pilot Study on Multi-Party Conversation Strategies for Group Recommendations

Similar questions

lightbulbPractical problemFairness in Recommendation and Ranking Systems

Users easily fall into bias when acquiring information and are unwilling to engage with views that contradict their own.

CUI '23Self-imposed Filter Bubble Model for Argumentative Dialogues

lightbulbPractical problemFairness in Recommendation and Ranking Systems

Group music recommender systems struggle to satisfy diverse user preferences while appearing fair.

IUI '21Perception of Fairness in Group Music Recommender Systems

Related papers

Self-imposed Filter Bubble Model for Argumentative Dialogues

Annalena Bea Aicher, Daniel Kornmüller, Wolfgang Minker

Perception of Fairness in Group Music Recommender Systems

Nyi Nyi Htun, Elisa Lecluse, Katrien Verbert