Machine Learning in Tourism

Fatemehalsadat Afsahhosseini; Yaseen Al-Mulla

doi:10.1145/3426826.3426837

Machine Learning in Tourism

Fatemehalsadat Afsahhosseini, Yaseen Al-Mulla

Soils, Water and Agricultural Engineering

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

9 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	Association for Computing Machinery
Pages	53-57
Number of pages	5
ISBN (Electronic)	9781450388344
DOIs	https://doi.org/10.1145/3426826.3426837
Publication status	Published - Sept 18 2020
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	ACM International Conference Proceeding Series

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

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3426826.3426837

Cite this

Machine Learning in Tourism. / Afsahhosseini, Fatemehalsadat; Al-Mulla, Yaseen.
Proceedings of the 3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020. Association for Computing Machinery, 2020. p. 53-57 (ACM International Conference Proceeding Series).

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

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. ACM International Conference Proceeding Series, Association for Computing Machinery, 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

@inproceedings{8839f8360db548aa86972cd98dd24bac,

title = "Machine Learning in Tourism",

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.",

keywords = "Demand Forecasting, Machine Learning, Recommender System, Sentiment Analysis, Tourism",

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

note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020 ; Conference date: 18-09-2020 Through 20-09-2020",

year = "2020",

month = sep,

day = "18",

doi = "10.1145/3426826.3426837",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "53--57",

booktitle = "Proceedings of the 3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020",

}

TY - GEN

T1 - Machine Learning in Tourism

AU - Afsahhosseini, Fatemehalsadat

AU - Al-Mulla, Yaseen

PY - 2020/9/18

Y1 - 2020/9/18

N2 - 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.

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.

KW - Demand Forecasting

KW - Machine Learning

KW - Recommender System

KW - Sentiment Analysis

KW - Tourism

UR - http://www.scopus.com/inward/record.url?scp=85099336020&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85099336020&partnerID=8YFLogxK

U2 - 10.1145/3426826.3426837

DO - 10.1145/3426826.3426837

M3 - Conference contribution

AN - SCOPUS:85099336020

T3 - ACM International Conference Proceeding Series

SP - 53

EP - 57

BT - Proceedings of the 3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020

PB - Association for Computing Machinery

T2 - 3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020

Y2 - 18 September 2020 through 20 September 2020

ER -

Machine Learning in Tourism

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this