Advances in Bias and Fairness in Information Retrieval: Second International Workshop on Algorithmic
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- Artikel-Nr.: 10430415
Beschreibung
Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features.- Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion.- Users' Perception of Search-Engine Biases and Satisfaction.- Preliminary Experiments to Examine the Stability of Bias-Aware Techniques.- Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines.- Equality of Opportunity in Ranking: A Fair-Distributive Model.- Incentives for Item Duplication under Fair Ranking Policies.- Quantification of the Impact of Popularity Bias in Multi-Stakeholder and Time-Aware Environment.- When is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations.- Evaluating Video Recommendation Bias on YouTube.- An Information-Theoretic Measure for Enabling Category Exemptions with an Application to Filter Bubbles.- Perception-Aware Bias Detection for Query Suggestions.- Crucial Challenges in Large-Scale Black Box Analyses.- New Performance Metrics for Offline Content-based TV Recommender Systems.
Eigenschaften
Breite: | 155 |
Gewicht: | 291 g |
Höhe: | 10 |
Länge: | 235 |
Seiten: | 171 |
Sprachen: | Englisch |
Autor: | Giovanni Stilo, Ludovico Boratto, Mirko Marras, Stefano Faralli |