TY - GEN
T1 - Machine Learning in Tourism
AU - Afsahhosseini, Fatemehalsadat
AU - Al-Mulla, Yaseen
N1 - Publisher Copyright:
© 2020 ACM.
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 - PervasiveHealth: Pervasive Computing Technologies for Healthcare
SP - 53
EP - 57
BT - Proceedings of the 3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020
PB - ICST
T2 - 3rd International Conference on Machine Learning and Machine Intelligence, MLMI 2020
Y2 - 18 September 2020 through 20 September 2020
ER -