Location-based Group Recommendation
Location-Based Group Recommendation is a group recommendation approach that integrates geographic proximity and location-related contextual information to generate personalized suggestions for a collective of users, distinguishing itself from general group recommendation methods by explicitly incorporating spatial constraints and mobility patterns into the decision-making process.
15
Publications
691
Citations
53
Authors
25
Institutions
Publications per year
2017–2026
8
Parents
15
Aworldwide tourism recommendation system based on geotaggedweb photos
Liangliang Cao, Jiebo Luo, Andrew Gallagher et al. · 2010 · 121 citations
Context-Aware Group Recommendation for Point-of-Interests
Qiliang Zhu, Shangguang Wang, Bo Cheng et al. · IEEE Access · 2018 · 43 citations · Full text
1–5 of 15
53
2
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2
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Missouri University of Science and Technology, United States
1 publications · 14 citations
1
h-index
1
h-index
1
h-index
1–5 of 53
25
K.N.Toosi University of Technology
Tehran, Iran
3 h-index
6 publications
190 citations
New Jersey Institute of Technology
Newark, United States
1 h-index
4 publications
108 citations

Huazhong University of Science and Technology
Wuhan, China
1 h-index
3 publications
114 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
1 h-index
3 publications
249 citations
University of Southern California
Los Angeles, United States
1 h-index
2 publications
80 citations

Northeastern University
Shenyang, China
1 h-index
3 publications
36 citations
Institute of Information Engineering
Beijing, China
1 h-index
4 publications
44 citations

Griffith University
Brisbane, Australia
1 h-index
1 publications
38 citations
1–8 of 25
2 publications · 118 citations
2
h-index
2 publications · 25 citations
2
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1 publications · 43 citations
1
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1 publications · 14 citations
1
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TDS · 1 publications · 38 citations
1
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1–5