Privacy-aware Collaborative Filtering
Privacy-Aware Collaborative Filtering is a collaborative filtering approach that, as a distinguished variant within privacy-preserving recommendation systems, inherently integrates mechanisms to protect user data privacy during the process of preference prediction by modifying or constraining information sharing and model computation, thereby differentiating itself from conventional collaborative filtering methods through its explicit privacy guarantees.
72
Publications
4.5K
Citations
202
Authors
104
Institutions
Publications per year
2017–2026
29
72
Collaborative filtering with privacy via factor analysis
John Canny · 2002 · 504 citations
Collaborative filtering with privacy
John Canny · 2005 · 444 citations
1–5 of 72
202
9
h-index
Commonwealth Scientific and Industrial Research Organisation, Australia
5 publications · 310 citations
5
h-index
4
h-index
Nanjing University of Information Science and Technology, China
4 publications · 205 citations
4
h-index
3
h-index
1–5 of 202
104

Nanjing University of Information Science and Technology
Nanjing, China
7 h-index
14 publications
597 citations

Anadolu University
Eskişehir, Türkiye
7 h-index
12 publications
329 citations
Eskişehir City Hospital
Eskişehir, Turkey
7 h-index
12 publications
329 citations
Nanjing University
Nanjing, China
5 h-index
8 publications
393 citations
Qufu Normal University
Qufu, China
4 h-index
7 publications
268 citations

Data61
Sydney, Australia
4 h-index
9 publications
440 citations

Deakin University
Burwood, Australia
4 h-index
13 publications
387 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
3 h-index
6 publications
321 citations
1–8 of 104
FGCS · 5 publications · 298 citations
5
h-index
4 publications · 195 citations
4
h-index
3 publications · 101 citations
3
h-index
2 publications · 59 citations
2
h-index
2 publications · 425 citations
2
h-index
1–5