用户名  找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Advances in Bias and Fairness in Information Retrieval; 5th International Wo Alejandro Bellogin,Ludovico Boratto,Mirko Marras Conference pr

[复制链接]
楼主: FAD
发表于 2025-3-23 13:09:26 | 显示全部楼层
https://doi.org/10.1007/978-3-322-84839-0mplex tasks is almost surely guaranteed. Yet proposed methods overlook diversity; that is, predicted teams are male-dominated and female participation is scarce. To this end, pre- and post-processing debiasing techniques have been initially proposed, mainly for being model-agnostic with little to no
发表于 2025-3-23 17:05:05 | 显示全部楼层
发表于 2025-3-23 19:03:14 | 显示全部楼层
发表于 2025-3-24 02:13:54 | 显示全部楼层
,Retention Induced Biases in a Recommendation System with Heterogeneous Users,iveness. This A/B experiment paradigm, widely regarded as the gold standard for assessing RS improvements, may consequently yield false conclusions. I also briefly touch on the data bias caused by the user retention dynamics.
发表于 2025-3-24 06:24:00 | 显示全部楼层
Sedieren und antikonvulsive Medikation, of the output summaries by comparing the output and input texts. We probed some LLMs and found a potential political bias in word choice. Additionally, our result indicates that the bias can be mostly dissipated by generation algorithms.
发表于 2025-3-24 08:44:51 | 显示全部楼层
,Das Wellenbild des Festkörpers,om feed. This underscores the influence network structure has in determining the effectiveness of recommender systems in the social network context and offers a tool for mitigating perception biases through algorithmic feed construction.
发表于 2025-3-24 14:14:50 | 显示全部楼层
发表于 2025-3-24 14:52:40 | 显示全部楼层
,Bias Reduction in Social Networks Through Agent-Based Simulations,om feed. This underscores the influence network structure has in determining the effectiveness of recommender systems in the social network context and offers a tool for mitigating perception biases through algorithmic feed construction.
发表于 2025-3-24 20:40:42 | 显示全部楼层
1865-0929 4, 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..978-3-03
发表于 2025-3-25 00:39:57 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-19 15:57
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表