Group Recommendation Evaluation
Group Recommendation Evaluation is a systematic assessment methodology within recommender systems research that specifically measures the effectiveness, accuracy, and user satisfaction of recommendation algorithms designed to provide personalized suggestions to groups of users rather than individuals, distinguished by its focus on collective preference aggregation and group-level outcome analysis.
40
Publications
2.3K
Citations
112
Authors
57
Institutions
Publications per year
2017–2026
10
40
Sihem Amer-Yahia, Senjuti Basu Roy, Ashish Chawlat et al. · Proceedings of the VLDB Endowment · 2009 · 396 citations
Group-based recipe recommendations
Shlomo Berkovsky, Jill Freyne · 2010 · 251 citations
Computing, Data Science, Data Mining +10
Exploring personal impact for group recommendation
Xingjie Liu, Yuan Tian, Mao Ye et al. · 2012 · 141 citations
Comparison of group recommendation algorithms
Toon De Pessemier, Simon Dooms, Luc Martens · Multimedia Tools and Applications · 2013 · 125 citations · Full text
1–5 of 40
112
3
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 112
57

Ghent University
Ghent, Belgium
3 h-index
9 publications
585 citations

University of Cagliari
Cagliari, Italy
3 h-index
5 publications
160 citations
Universidad Complutense de Madrid
Madrid, Spain
2 h-index
7 publications
525 citations
AGH University of Krakow
Krakow, Poland
2 h-index
2 publications
246 citations

TU Wien
Vienna, Austria
2 h-index
3 publications
46 citations
iMinds
Ghent, Belgium
2 h-index
6 publications
519 citations

Université Paris Dauphine-PSL
Paris, France
2 h-index
2 publications
246 citations
Technical University of Munich
Munich, Germany
2 h-index
4 publications
78 citations
1–8 of 57
3 publications · 195 citations
3
h-index
2 publications · 81 citations
2
h-index
2 publications · 124 citations
2
h-index
2 publications · 56 citations
2
h-index
2 publications · 42 citations
2
h-index
1–5