English(EN) Decision-Theoretic Stopping Rules for Document Screening

新的停机规则利用决策论改进文档筛选

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-05 09:09

研究人员开发了新的决策论停机规则用于文档筛选，旨在优化搜索结果的检查。这些策略源自完美信息预期值，考虑了审查文档的具体原因，而不是仅仅关注召回率目标。该新方法应用于专利审查和系统性审查任务，在使用了CLEF-IP和医学系统性审查数据集的实验中，其表现优于现有方法，获得了更高的净效用。 AI

排序理由这是一篇发表在arXiv上的研究论文，详细介绍了一种新的文档筛选方法。[lever_c_demoted from research: ic=1 ai=0.4]

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: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 这是一篇发表在arXiv上的研究论文，详细介绍了一种新的文档筛选方法。[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: 116 days old; Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

完整方法见我们的编辑标准。

arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Mark Stevenson · 2026-06-05 09:09

用于文档筛选的决策论停止规则

Deciding when to stop reviewing the results of a search is a common problem with multiple applications. Existing stopping rules developed within Technology-Assisted Review (TAR) aim to achieve a pre-specified recall target and do not take into account the reason for examining the…