Multi-objective Personalization
Multi-Objective Personalization is a personalization framework that simultaneously optimizes multiple, potentially conflicting user or system objectives—such as relevance, diversity, fairness, and privacy—within web-based adaptive systems, distinguishing itself from single-objective approaches by integrating trade-off-aware decision-making mechanisms.
14
Publications
420
Citations
56
Authors
23
Institutions
Publications per year
2017–2026
12
Parents
14
1–5 of 14
56
2
h-index
2
h-index
2
h-index
1
h-index
1
h-index
1–5 of 56
23

Carleton University
Ottawa, Canada
2 h-index
6 publications
171 citations
Middle East Technical University
Ankara, Türkiye
1 h-index
2 publications
28 citations
University of Colorado Boulder
Boulder, United States
1 h-index
1 publications
13 citations
Tencent (China)
Shenzhen, China
1 h-index
6 publications
204 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
2 publications
114 citations

Cadi Ayyad University
Marrakesh, Morocco
1 h-index
3 publications
45 citations

Xidian University
Xi'an, China
1 h-index
5 publications
185 citations
Dalian University of Technology
Dalian, China
1 h-index
1 publications
17 citations
1–8 of 23
2 publications · 43 citations
2
h-index
1 publications · 47 citations
1
h-index
1 publications · 57 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 36 citations
1
h-index
1–5