旅游业务中的人工智能:系统审查
Alexandra Lorena López-Naranjo1, Mariana Isabel Puente-Riofrio1, Verónica Adriana Carrasco-Salazar1
1Facultad de Ciencias Políticas y Administrativas, Universidad Nacional de Chimborazo, Riobamba, Ecuador.
Frontiers in artificial intelligence
|August 11, 2025
概括
旅游业中的人工智能 (AI) 使用自然语言处理和深度学习来提供个性化服务和操作. 关键的挑战包括成功整合人工智能的成本和伦理问题.
科学领域:
- 计算机科学 计算机科学
- 信息系统信息系统信息系统
- 企业管理 企业管理
背景情况:
- 人工智能 (AI) 越来越多地融入旅游业.
- 人工智能优化运营,个性化客户体验,并增强资源管理.
- 这种转型影响了旅游业务的运营方式和与旅客的互动方式.
研究的目的:
- 在旅游业探索人工智能应用.
- 确定关键的人工智能技术,它们的应用,好处和挑战.
- 为旅游业成功实施人工智能提供见解.
主要方法:
- 按照PRISMA指南进行系统的文献审查.
- 分析了112项初级研究.
- 识别和合成人工智能技术,应用,好处和挑战.
主要成果:
- 自然语言处理 (NLP) 和深度学习 (神经网络) 是旅游业中最普遍的AI技术.
- 聊天机器人,卷积神经网络 (CNN) 和长期短期记忆 (LSTM) 网络是突出的.
- 人工智能自动化交互 (预订,客户服务) 并实现高级数据分析以实现个性化和战略决策.
结论:
- 人工智能为旅游业提供了广泛的应用和显著的好处.
- 挑战包括高的实施成本,基础设施要求和道德/隐私问题.
- 仔细管理好处和挑战对于在旅游业成功采用人工智能至关重要.
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