Service Personalization Analytics
Service Personalization Analytics is a methodological framework within retail service analytics that systematically analyzes customer data to generate individualized service recommendations, distinguished by its focus on adaptive learning models that dynamically refine personalization strategies based on real-time behavioral and contextual inputs.
20
Publications
840
Citations
62
Authors
29
Institutions
Publications per year
2017–2026
12
Parents
20
1–5 of 20
62
2
h-index
2
h-index
2
h-index
National Institute for Research and Development in Informatics - ICI Bucharest, Romania
2 publications · 103 citations
2
h-index
2
h-index
1–5 of 62
29
Columbia University
New York, United States
2 h-index
14 publications
721 citations
Computer Algorithms for Medicine
Graz, Austria
2 h-index
2 publications
103 citations
Louisiana State University
Baton Rouge, United States
1 h-index
1 publications
23 citations
Nova Southeastern University
Fort Lauderdale, United States
1 h-index
1 publications
23 citations
Marymount University
Arlington, United States
1 h-index
1 publications
17 citations

Walailak University
Nakhon Si Thammarat, Thailand
1 h-index
1 publications
45 citations

Ming Chuan University
Taoyuan District, Taiwan
1 h-index
1 publications
23 citations

University of Palermo
Palermo, Italy
1 h-index
2 publications
32 citations
1–8 of 29
2 publications · 81 citations
2
h-index
Repository · 2 publications · 103 citations
2
h-index
1 publications · 71 citations
1
h-index
1 publications · 16 citations
1
h-index
1 publications · 22 citations
1
h-index
1–5