Machine Learning in Tourism

Fatemehalsadat Afsahhosseini, Yaseen Al-Mulla

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 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 languageEnglish
Title of host publicationProceedings of the 3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020
PublisherICST
Pages53-57
Number of pages5
ISBN (Electronic)9781450388344
DOIs
Publication statusPublished - Sep 18 2020
Externally publishedYes
Event3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020 - Virtual, Online, China
Duration: Sep 18 2020Sep 20 2020

Publication series

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

Conference

Conference3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020
Country/TerritoryChina
CityVirtual, Online
Period9/18/209/20/20

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

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