東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Advances in bias and fairness in inf...

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

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in bias and fairness in information retrieval/ edited by Alejandro Bellogin ... [et al.].
Reminder of title:	5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024 : revised selected papers /
remainder title:	BIAS 2024
other author:	Bellogin, Alejandro.
corporate name:	International Workshop on Algorithmic Bias in Search and Recommendation
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	ix, 103 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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
Subject:	Information retrieval - Congresses. -
Online resource:	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 /
LDR:02279nmm a2200349 a 4500 001 2407719
003 DE-He213
005 20241023125724.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031719752 $q (electronic bk.)
020 $a 9783031719745 $q (paper)
024 7 $a 10.1007/978-3-031-71975-2 $2 doi
035 $a 978-3-031-71975-2
040 $a GP $c GP
041 0 $a eng
050 4 $a ZA3075 $b .I48 2024
072 7 $a UKN $2 bicssc
072 7 $a COM043000 $2 bisacsh
072 7 $a UKN $2 thema
082 0 4 $a 025.04 $2 23
090 $a ZA3075 $b .I61 2024
111 2 $a International Workshop on Algorithmic Bias in Search and Recommendation $n (5th : $d 2024 : $c Washington, D.C. ; Online) $3 3779724
245 1 0 $a Advances in bias and fairness in information retrieval $h [electronic resource] : $b 5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024 : revised selected papers / $c edited by Alejandro Bellogin ... [et al.].
246 3 $a BIAS 2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a ix, 103 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 2227
505 0 $a 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.
520 $a 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.
650 0 $a Information retrieval $v Congresses. $3 884379
650 0 $a Algorithms $v Congresses. $3 607038
650 1 4 $a Computer Communication Networks. $3 775497
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a e-Commerce and e-Business. $3 3591724
700 1 $a Bellogin, Alejandro. $3 3779725
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 2227. $3 3779726
856 4 0 $u https://doi.org/10.1007/978-3-031-71975-2
950 $a Computer Science (SpringerNature-11645)