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English(EN) Content associations with answer selection and engagement in supply chain community question answering

物流问答分析揭示了最佳答案和参与度的内容驱动因素

研究人员分析了Yahoo! Chiebukuro社区问答平台(特别是在物流领域)中内容与答案选择和参与度的关联。该研究利用机器翻译管道检查了与供应链运营相关的名词和语义名词簇。研究结果表明,诸如“分销”和“仓库”等特定的运营物流术语与最佳答案的选择相关,而诸如“汽车”和“税”等更广泛的术语则与更高的问答参与度相关。 AI

影响 为理解专业在线社区中基于内容的参与度和答案选择提供了见解,可能为AI驱动的问答系统提供信息。

排序理由 学术论文发布在arXiv上,详细介绍了研究结果。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.CL 阅读 →

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

物流问答分析揭示了最佳答案和参与度的内容驱动因素

本文如何被排名

Signal score
4 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
学术论文发布在arXiv上,详细介绍了研究结果。[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
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Hisatoshi Naganawa ·

    内容与供应链社区问答中答案选择和参与度的关联性

    arXiv:2610.21807v1 Announce Type: new Abstract: Community question-answering platforms are important ecosystems for knowledge sharing, yet research on what makes an answer best or a question engaging has often focused on either individual lexical features or broad topics. This ex…