Context-aware Content Recommendation
Context-Aware Content Recommendation is a type of content-based recommendation approach that incorporates temporal, spatial, environmental, or situational contextual information to dynamically adapt content selection and personalization beyond static user or item attributes.
52
Publications
1.9K
Citations
172
Authors
88
Institutions
Publications per year
2017–2026
19
Parents
52
Maral Kolahkaj, Ali Harounabadi, Alireza Nikravanshalmani et al. · Electronic Commerce Research and Applications · 2020 · 80 citations
1–5 of 52
172
3
h-index
3
h-index
2
h-index
2
h-index
2 publications · 28 citations
2
h-index
1–5 of 172
88
INESC TEC
Porto, Portugal
3 h-index
5 publications
88 citations

Universidade do Porto
Porto, Portugal
3 h-index
5 publications
100 citations

University of Salerno
Fisciano, Italy
2 h-index
12 publications
582 citations
Universitat de València
Valencia, Spain
2 h-index
2 publications
199 citations
National University of Computer and Emerging Sciences
Islamabad, Pakistan
2 h-index
6 publications
96 citations

Delhi Technological University
New Delhi, India
2 h-index
4 publications
172 citations

University of Ottawa
Ottawa, Canada
2 h-index
6 publications
118 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
2 publications
64 citations
1–8 of 88
3 publications · 132 citations
3
h-index
3 publications · 237 citations
3
h-index
2 publications · 73 citations
2
h-index
2 publications · 94 citations
2
h-index
1 publications · 16 citations
1
h-index
1–5