English(EN) Equity Promotion in Online Resource Allocation

新算法促进非营利组织在线资源分配的公平性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-11 04:00

本文介绍了两种基于线性规划（LP）的采样算法，旨在促进在线资源分配的公平性，特别是非营利组织。这些算法适用于资源稀缺且到达的请求者在外部因素上同质但在人口统计学等内部属性上异质的场景。所提出的策略旨在确保每个群体根据预设的目标比例公平地获得资源份额，并通过理论分析和使用明尼苏达州卫生部COVID-19疫苗接种数据进行的实验进行了验证。 AI

影响为资源的公平分配提供了一个框架，可应用于AI驱动的分配系统。

排序理由该集群包含一篇在arXiv上发表的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 5 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇在arXiv上发表的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: Standard; On-topic for AI-industry coverage; kept in the public index.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Pan Xu, Yifan Xu · 2026-09-11 04:00

在线资源分配中的公平促进

arXiv:2112.04169v3 Announce Type: replace-cross Abstract: We consider online resource allocation under a typical non-profit setting, where limited or even scarce resources are administered by a not-for-profit organization like a government. We focus on the internal-equity by assu…

本文如何被排名

报道来源 [1]

在线资源分配中的公平促进

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