Predictive Guest Analytics
Predictive Guest Analytics is a data-driven analytical framework within digital guest engagement that utilizes historical and real-time guest interaction data, machine learning algorithms, and behavioral modeling to forecast future guest preferences, behaviors, and service expectations, thereby enabling proactive personalization and operational decision-making in hospitality and service environments.
4
Publications
148
Citations
11
Authors
9
Institutions
Publications per year
2017–2026
4
Parents
4
1–4 of 4
11
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 11
9

Universidad de Granada
Granada, Spain
1 h-index
1 publications
15 citations
Helwan University
Cairo, Egypt
1 h-index
1 publications
52 citations

University of Delhi
New Delhi, India
1 h-index
2 publications
52 citations

Adam Mickiewicz University in Poznań
Poznan, Poland
1 h-index
1 publications
55 citations

Universidad de Sevilla
Seville, Spain
1 h-index
1 publications
15 citations

Universidad Católica de la Santísima Concepción
Concepción, Chile
1 h-index
1 publications
15 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
1 h-index
1 publications
55 citations

Jinan University
Guangzhou, China
1 h-index
2 publications
110 citations
1–8 of 9
JHMM · 2 publications · 78 citations
2
h-index
1 publications · 55 citations
1
h-index
1 publications · 15 citations
1
h-index
1–3