Machine Learning in Tourism

Proceedings of the 2020 3rd International Conference on Machine Learning and Machine Intelligence Pub Date : 2020-09-18 DOI:10.1145/3426826.3426837

Fatemeh Afsahhosseini, Y. Al-Mulla

引用次数: 8

Abstract

Machine Learning is a subset of Artificial Intelligence, which is a process of learning from different types of data to make accurate predictions. Data in tourism is various such as Statistics, Photos, Maps, and Texts. Also, each tourism cycle has different stages: Pre, During, and After Trip. In this paper application of machine learning in tourism related data and trip stages are introduced in detailed.

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旅游业中的机器学习

机器学习是人工智能的一个子集，它是从不同类型的数据中学习以做出准确预测的过程。旅游中的数据是各种各样的，如统计数据、照片、地图和文本。此外，每个旅游周期都有不同的阶段:旅行前、旅行中和旅行后。本文详细介绍了机器学习在旅游相关数据和旅游阶段的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2020 3rd International Conference on Machine Learning and Machine Intelligence

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