Advances in Bias and Fairness in Information Retrieval

5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024, Revised Selected Papers

AvAlejandro Bellogin,Ludovico Boratto

Häftad, Engelska, 2024

Del 2227 i serien Communications in Computer and Information Science

693 kr

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Beskrivning

This book constitutes the refereed proceedings of the 5th International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2024, held in Washington, DC, USA, on July 18, 2024 in hybrid mode. The 7 full papers included in this book were carefully reviewed and selected from 20 submissions.

Produktinformation

Utgivningsdatum:2024-10-23
Mått:155 x 235 x 7 mm
Vikt:189 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:103
Förlag:Springer International Publishing AG
ISBN:9783031719745

Utforska kategorier

E-handel inom Ekonomi och Ledarskap
Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

An Offer you Cannot Refuse? Trends in the Coercive Impact of Amazon Book Recommendations.- Retention Induced Biases in a Recommendation System with Heterogeneous Users.- Political Bias of Large Language Models in Few-shot News Summarization.- Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation.- Bias Reduction in Social Networks through Agent-Based Simulations.- vivaFemme: Mitigating Gender Bias in Neural Team Recommendation via Female-Advocate Loss Regularization.- Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training.

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Advances in Bias, Fairness, and Understudied Users in Information Retrieval

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Advances in Bias and Fairness in Information Retrieval

5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024, Revised Selected Papers

Beskrivning

Produktinformation

Utforska kategorier

Innehållsförteckning

Du kanske också är intresserad av

Large-Scale and Distributed Optimization

Recommender Systems for Sustainability and Social Good

Indogermanische Sprachwissenschaft

Advances in Bias and Fairness in Information Retrieval

Advances on Graph-Based Approaches in Information Retrieval

Bias and Social Aspects in Search and Recommendation

Recommender Systems for Sustainability and Social Good

Advances in Bias and Fairness in Information Retrieval

Advances in Bias and Fairness in Information Retrieval

Advances in Bias, Fairness, and Understudied Users in Information Retrieval

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