Predictive Analytics For Hotels
Predictive Analytics for Hotels is a computational methodology that applies statistical models and machine learning techniques to historical and real-time hospitality data to forecast guest behavior, optimize pricing, and enhance operational decision-making within the lodging industry.
60
Publications
3.6K
Citations
159
Authors
91
Institutions
Publications per year
2017–2026
44
Parents
60
1–5 of 60
159
5
h-index
3
h-index
2
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h-index
2
h-index
1–5 of 159
91

Hong Kong Polytechnic University
Hong Kong, Hong Kong
7 h-index
11 publications
614 citations

Pennsylvania State University
State College, United States
3 h-index
5 publications
474 citations

Sun Yat-sen University
Guangzhou, China
3 h-index
4 publications
136 citations

University of Coimbra
Coimbra, Portugal
2 h-index
3 publications
177 citations

University of Delhi
New Delhi, India
2 h-index
4 publications
178 citations
Instituto de Telecomunicações
Lisbon, Portugal
2 h-index
3 publications
177 citations

Universidad de Las Palmas de Gran Canaria
Las Palmas de Gran Canaria, Spain
2 h-index
4 publications
824 citations

Universidad de Sevilla
Seville, Spain
2 h-index
2 publications
53 citations
1–8 of 91
5 publications · 263 citations
5
h-index
4 publications · 691 citations
4
h-index
JTTM · 2 publications · 74 citations
2
h-index
2 publications · 48 citations
2
h-index
JHMM · 2 publications · 78 citations
2
h-index
1–5