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Advances in bias and fairness in inf...

International Workshop on Algorithmic Bias in Search and Recommendation (2024 :)

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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 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in bias and fairness in information retrieval/ edited by Alejandro Bellogin ... [et al.].
其他題名:	5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024 : revised selected papers /
其他題名:	BIAS 2024
其他作者:	Bellogin, Alejandro.
團體作者:	International Workshop on Algorithmic Bias in Search and Recommendation
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	ix, 103 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Information retrieval - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-71975-2
ISBN:	9783031719752

Advances in bias and fairness in information retrieval = 5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024 : revised selected papers /
Advances in bias and fairness in information retrieval5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024 : revised selected papers /[electronic resource] :BIAS 2024edited by Alejandro Bellogin ... [et al.]. - Cham :Springer Nature Switzerland :2025. - ix, 103 p. :ill. (some col.), digital ;24 cm. - Communications in computer and information science,22271865-0937 ;. - Communications in computer and information science ;2227..

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.

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.

ISBN: 9783031719752

Standard No.: 10.1007/978-3-031-71975-2doiSubjects--Topical Terms:

884379
Information retrieval
--Congresses.

LC Class. No.: ZA3075 / .I48 2024

Dewey Class. No.: 025.04

Advances in bias and fairness in information retrieval = 5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024 : revised selected papers /
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