Privacy-aware Personalization
Privacy-Aware Personalization is a personalization framework that integrates privacy-preserving mechanisms to ensure user data confidentiality and autonomy while enabling tailored experiences based on individual preferences and behaviors.
149
Publications
10.5K
Citations
453
Authors
214
Institutions
Publications per year
2017–2026
58
149
1–5 of 149
453
9
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 453
214
Carnegie Mellon University
Pittsburgh, United States
6 h-index
15 publications
1.9K citations
Microsoft (United States)
Redmond, United States
6 h-index
8 publications
451 citations
University of California, Irvine
Irvine, United States
5 h-index
9 publications
211 citations

Pennsylvania State University
State College, United States
5 h-index
14 publications
2.9K citations
Clemson University
Clemson, United States
5 h-index
10 publications
330 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
4 h-index
7 publications
552 citations

University of North Carolina at Charlotte
Charlotte, United States
4 h-index
5 publications
224 citations
Guangxi University
Nanning, China
3 h-index
5 publications
108 citations
1–8 of 214
4 publications · 362 citations
4
h-index
4 publications · 92 citations
4
h-index
JBR · 3 publications · 162 citations
3
h-index
3 publications · 112 citations
3
h-index
2 publications · 42 citations
2
h-index
1–5