Cross-platform Personalization
Cross-Platform Personalization is a methodological framework that enables the consistent adaptation of user experiences across multiple digital platforms by leveraging shared user models and context-aware algorithms to maintain personalized interactions while preserving platform-specific constraints and affordances.
9
Publications
483
Citations
41
Authors
26
Institutions
Publications per year
2017–2026
5
Parents
9
1–5 of 9
41
2
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 41
26

Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
342 citations

Sun Yat-sen University
Guangzhou, China
1 h-index
2 publications
32 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
3 publications
141 citations
National University of Singapore
Singapore, Singapore
1 h-index
2 publications
210 citations
Microsoft Research Asia (China)
Beijing, China
1 h-index
2 publications
80 citations
Texas A&M University
College Station, United States
1 h-index
1 publications
105 citations
Université Paris-Sud
Orsay, France
1 h-index
1 publications
134 citations

Huazhong University of Science and Technology
Wuhan, China
1 h-index
1 publications
16 citations
1–8 of 26
2 publications · 86 citations
2
h-index
1 publications · 10 citations
1
h-index
1 publications · 47 citations
1
h-index
1 publications · 17 citations
1
h-index
TIST · 1 publications · 40 citations
1
h-index
1–5