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English(EN) Understanding Guest Preferences and Optimizing Two-sided Marketplaces: Airbnb as an Example

新研究使用经济学模型优化Airbnb的市场动态

本文探讨了如何理解和优化双边市场,并以Airbnb为例。它结合了经济学建模和因果推断,分析了基于房东设定的价格和其他因素的房客预订行为。该研究旨在改进Airbnb为房东设定的有竞争力的价格的工具,并为改善匹配的房客体验进行个性化。 AI

影响 这项研究可以为市场中更复杂的AI驱动的定价和推荐系统的开发提供信息。

排序理由 关于将经济学模型和因果推断应用于市场的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.LG 阅读 →

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

新研究使用经济学模型优化Airbnb的市场动态

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
关于将经济学模型和因果推断应用于市场的学术论文。[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
90 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。

报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Yufei Wu, Daniel Schmierer ·

    理解用户偏好与优化双边市场:以 Airbnb 为例

    arXiv:2607.00280v1 Announce Type: new Abstract: Airbnb is a community based on connection and belonging -- many hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home; Airbnb strives to connect people and plac…