来自推系统的历史交易的旅游数据集
Choirul Huda1, Yaya Heryadi1, Lukas2
1Computer Science Department, Bina Nusantara University, Jakarta 11480, Indonesia.
Data in brief
|January 16, 2024
概括
这项研究处理了TripAdvisor的原始数据,以创建一个有价值的旅游数据集. 这一数据集支持开发出有效的旅行推推系统.
科学领域:
- 数据科学数据科学数据科学
- 旅游信息学 旅游信息学
背景情况:
- 旅游业的增长需要先进的数据利用.
- 推系统依靠历史交易数据进行个性化的建议.
研究的目的:
- 将TripAdvisor的非结构化旅游数据处理成一个结构化数据集.
- 促进旅游推系统的发展.
主要方法:
- 数据重组,验证和内容丰富.
- 与谷歌地图集成和数据规范化.
- 为印尼旅游业开发一个实体关系模型.
主要成果:
- 创建了一个包含用户交易,景点细节和地理信息的原始数据集.
- 数据集包括关于景点类型,大陆,地区,国家,城市和参观方式的具体信息.
- 为印度尼西亚主要旅游目的地建立了一个实体关系模型.
结论:
- 处理的数据集适合构建旅游推系统.
- 这项工作为数据驱动的旅游建议提供了基础,特别是在印度尼西亚.
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