Constraint-aware Recommendation
Constraint-Aware Recommendation is a type of patient-specific recommendation system that incorporates explicit clinical, logistical, or personal constraints into the recommendation process to ensure generated suggestions are feasible and compliant with real-world healthcare requirements.
12
Publications
813
Citations
47
Authors
10
Institutions
Publications per year
2017–2026
3
12
Constraint-based recommender systems
Alexander Felfernig, Robin Burke · 2008 · 262 citations
A multi-constraint learning path recommendation algorithm based on knowledge map
Haiping Zhu, Feng Tian, Ke Wu et al. · Knowledge-Based Systems · 2017 · 119 citations · Full text
1–5 of 12
47
5
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 47
10
Graz University of Technology
Graz, Austria
4 h-index
16 publications
201 citations
University of Klagenfurt
Klagenfurt, Austria
4 h-index
7 publications
440 citations
Institute for Interdisciplinary Studies of Austrian Universities
Vienna, Austria
2 h-index
4 publications
172 citations
Stanford University
Stanford, United States
1 h-index
3 publications
453 citations
National Cheng Kung University
Tainan City, Taiwan
1 h-index
3 publications
339 citations

Xi'an Jiaotong University
Xi'an, China
1 h-index
7 publications
833 citations

DePaul University
Chicago, United States
1 h-index
1 publications
262 citations

Coventry University
Coventry, United Kingdom
1 h-index
2 publications
238 citations
1–8 of 10
AICOM · 1 publications · 15 citations
1
h-index
1 publications · 119 citations
1
h-index
Conference · 1 publications · 13 citations
1
h-index
1 publications · 151 citations
1
h-index
JETWI · 1 publications · 17 citations
1
h-index
1–5