引导式测验 · 中等 等级

酒店业和酒店测验中的人工智能

涵盖动态定价、RevPAR、宾客服务自动化、占用相关能源控制以及人性化热情好客的价值。

问题 1 的 8

什么是酒店的“动态定价”?

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  1. 什么是酒店的“动态定价”?
    • 根据需求和其他信号实时调整房价
    • 全年向每位客人收取相同的固定费率
    • 只接受现金付款
    • 按客人国籍定价客房
  2. 酒店人工智能试图最大化的 RevPAR 指标代表什么?
    • 每份年度报告的审查
    • 每间可用客房的收入
    • 每英亩房间比率
    • 每次广告投放的收入
  3. What type of language technology can help a hotel voice chatbot answer guest questions?
    • 蛋白质折叠
    • Satellite change detection
    • Speech recognition and natural-language processing for a closed-domain question-answering workflow
    • A building occupancy sensor alone
  4. What was Hilton’s Connie in its 2016 pilot with IBM?
    • An automated room-pricing engine
    • An HVAC occupancy sensor
    • A guest-room booking database
    • A Watson-enabled robot concierge that answered questions about amenities and nearby attractions
  5. How can occupancy-based controls help a hotel reduce HVAC use?
    • Adjust ventilation or temperature when rooms are vacant, using occupancy sensing
    • Keep every room at maximum heating continuously
    • Use only guest reviews to control airflow
    • Turn off all ventilation regardless of occupancy
  6. What does hotel service research suggest about automating guest-facing work?
    • Every guest prefers fully automated service
    • Some guests value human interaction, so technology should support rather than erase all human touchpoints
    • Robots guarantee higher service quality in every setting
    • Human interaction has no effect on hotel experience
  7. How is RevPAR commonly calculated?
    • Total hotel profit divided by employees
    • Number of occupied rooms divided by guest complaints
    • Room revenue divided by available rooms, or average daily room rate multiplied by occupancy
    • Room revenue divided only by occupied rooms
  8. What did a field study of human and robotic hotel service agents report?
    • Robots always outperform human service
    • Hotels should remove every human guest-service role
    • The study measured room-price prediction only
    • Robotic agents could complement human staff without diminishing guest satisfaction in the studied setting