Machine Learning in Tourism

Fatemehalsadat Afsahhosseini; Yaseen Al-Mulla

doi:10.1145/3426826.3426837

Machine Learning in Tourism

Fatemehalsadat Afsahhosseini, Yaseen Al-Mulla

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020
Publisher	ICST
Pages	53-57
Number of pages	5
ISBN (Electronic)	9781450388344
DOIs	https://doi.org/10.1145/3426826.3426837
Publication status	Published - Sept 18 2020
Externally published	Yes
Event	3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020 - Virtual, Online, China Duration: Sept 18 2020 → Sept 20 2020

Publication series

Name	PervasiveHealth: Pervasive Computing Technologies for Healthcare
ISSN (Print)	2153-1633

Conference

Conference	3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020
Country/Territory	China
City	Virtual, Online
Period	9/18/20 → 9/20/20

Keywords

Demand Forecasting
Machine Learning
Recommender System
Sentiment Analysis
Tourism

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Computer Science Applications
Health Informatics

Access to Document

10.1145/3426826.3426837

Cite this

Afsahhosseini, F & Al-Mulla, Y 2020, Machine Learning in Tourism. in Proceedings of the 3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020. PervasiveHealth: Pervasive Computing Technologies for Healthcare, ICST, pp. 53-57, 3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020, Virtual, Online, China, 9/18/20. https://doi.org/10.1145/3426826.3426837

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author = "Fatemehalsadat Afsahhosseini and Yaseen Al-Mulla",

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AB - 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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ER -

Machine Learning in Tourism

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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