Content associations with answer selection and engagement in supply chain community question answering

Key points

• Chiebukuro, asking which nouns and semantic noun clusters are associated with best-answer selection and question engagement.1
• We analyze a large corpus of questions and answer-tier posts collected under the keyword logistics, using an offline machine-translation pipeline with manually validated noun-level fidelity.1
• Operational logistics nouns such as distribution, warehouse, and center are associated with best-answer selection, whereas broader civic and infrastructure nouns such as car, tax, and shinkansen are associated with higher engagement.1
• These findings reveal differentiated content-outcome profiles across answer and question levels and provide a domain-wide descriptive map of engagement and answer selection in logistics-related cQA discourse.1

Sources (1)

• [1]Content associations with answer selection and engagement in supply chain community question answering
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 15, 12:56 PM

  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.

  Chiebukuro, asking which nouns and semantic noun clusters are associated with best-answer selection and question engagement.

Extractive summary: sentences quoted from the sources.