Context-Aware Mobile Recommendation is a context-aware recommendation system that specifically incorporates mobile device-generated contextual information—such as location, time, user activity, and sensor data—to adapt recommendation outputs in real-time according to the dynamic environments and on-the-go behaviors characteristic of mobile users.
246
Publications
10.9K
Citations
788
Authors
311
Institutions
Publications per year
2017–2026
81
Parents
Publications
246
Recommendations in location-based social networks: a survey
Jie Bao, Yu Zheng, David A. Wilkie et al. · GeoInformatica · 2015 · 564 citations
Learning Graph-based POI Embedding for Location-based Recommendation
Min Xie, Hongzhi Yin, Hao Wang et al. · 2016 · 397 citations
1–5 of 246
Authors
788
- FR
6
h-index
- MB
5
h-index
- SI
5
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- EC
4
h-index
- JJ
4
h-index
1–5 of 788
Institutions
311
Universidad de Zaragoza
Zaragoza, Spain
6 h-index
13 publications
386 citations
Free University of Bozen-Bolzano
Bolzano, Italy
6 h-index
19 publications
1.4K citations
Universidad Politécnica de Madrid
Madrid, Spain
6 h-index
12 publications
358 citations
Technical University of Munich
Munich, Germany
6 h-index
10 publications
555 citations
University of Science and Technology of China
Hefei, China
5 h-index
13 publications
577 citations
Microsoft Research Asia (China)
Beijing, China
5 h-index
10 publications
1.5K citations
Wuhan University
Wuhan, China
5 h-index
12 publications
292 citations
University of Piraeus
Piraeus, Greece
4 h-index
5 publications
129 citations
1–8 of 311
Venues
- Expert Systems with Applications
10 publications · 809 citations
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h-index
- Pervasive and Mobile Computing
7 publications · 328 citations
7
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- Multimedia Tools and Applications
6 publications · 147 citations
6
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- Knowledge-Based Systems
5 publications · 218 citations
5
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- Information Sciences
4 publications · 169 citations
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1–5