English(EN) A Smart Instant Book Filter Model based on Dual-Objective Optimization

AI系统优化酒店业即时预订

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-28 04:00

研究人员开发了一种新颖的智能即时预订过滤系统，旨在增强酒店业的在线市场。该系统智能地推广即时预订列表，同时确保整体预订率不下降，解决了双目标优化问题。A/B测试和随后的生产部署表明，该模型优于先前人工调整的系统，提高了即时预订率、整体预订率和房东采纳率，目前日服务用户达数百万。 AI

影响该系统通过优化预订流程，可以显著改善在线酒店市场的用户体验和效率。

排序理由该条目描述了在arXiv上的研究论文中提出的一种新颖系统，详细介绍了其方法论和性能结果。[lever_c_demoted from research: ic=1 ai=0.7]

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: 15 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该条目描述了在arXiv上的研究论文中提出的一种新颖系统，详细介绍了其方法论和性能结果。[lever_c_demoted from research: ic=1 ai=0.7]
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: product, 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: High; Clearly on-topic for AI-industry coverage.
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。

arXiv cs.AI TIER_1 English(EN) · Yi Hou, Li Fan, Huizhong Duan · 2026-10-28 04:00

基于双目标优化的智能即时图书过滤模型

arXiv:2610.36287v1 Announce Type: new Abstract: Hospitality service in online marketplaces has become increasingly popular over the past few years, not only because it helps people easily rent short-term lodging but also because it empowers travelers to connect with locals and fe…