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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 / / edited by Alejandro Bellogin, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras



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Autore: Bellogin Alejandro Visualizza persona
Titolo: Advances in Bias and Fairness in Information Retrieval : 5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024, Revised Selected Papers / / edited by Alejandro Bellogin, Ludovico Boratto, Styliani Kleanthous, Elisabeth Lex, Francesca Maridina Malloci, Mirko Marras Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (113 pages)
Disciplina: 004.6
Soggetto topico: Computer networks
Artificial intelligence
Electronic commerce
Computer Communication Networks
Artificial Intelligence
e-Commerce and e-Business
Altri autori: BorattoLudovico  
KleanthousStyliani  
LexElisabeth  
MallociFrancesca Maridina  
MarrasMirko  
Nota di contenuto: 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.
Sommario/riassunto: 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. They are grouped into three thematic sessions, each focusing on distinct aspects of bias and fairness in information retrieval.
Titolo autorizzato: Advances in Bias and Fairness in Information Retrieval  Visualizza cluster
ISBN: 3-031-71975-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910983492903321
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Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 2227