Personalized Group Recommendation
Personalized Group Recommendation is a group recommendation approach that integrates individual user preferences and behavioral patterns into the decision-making process to generate tailored recommendations for a group, distinguishing itself from general group recommendation methods by explicitly modeling personalization at both individual and collective levels.
56
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2K
Citations
174
Authors
88
Institutions
Publications per year
2017–2026
35
Parents
56
Personality aware recommendations to groups
Juan A. Recio-García, Guillermo Jiménez-Díaz, Antonio A. Sánchez‐Ruiz et al. · 2009 · 87 citations
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88

Shandong Normal University
Jinan, China
3 h-index
4 publications
91 citations
Universidad Complutense de Madrid
Madrid, Spain
3 h-index
9 publications
673 citations
University of Science and Technology of China
Hefei, China
3 h-index
5 publications
127 citations
University of Technology Sydney
Sydney, Australia
2 h-index
2 publications
43 citations

Hefei University of Technology
Hefei, China
2 h-index
9 publications
139 citations

University of Cagliari
Cagliari, Italy
2 h-index
5 publications
183 citations
K.N.Toosi University of Technology
Tehran, Iran
2 h-index
4 publications
134 citations

University of Ottawa
Ottawa, Canada
2 h-index
5 publications
140 citations
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7 publications · 304 citations
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6 publications · 230 citations
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3 publications · 129 citations
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3 publications · 44 citations
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3 publications · 71 citations
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