Diversity-aware Recommendation
Diversity-Aware Recommendation is a recommendation approach that, as a member of the class of personalized recommendation methods, explicitly incorporates measures to promote variety among recommended items in order to mitigate redundancy and broaden user exposure beyond narrow preferences.
252
Publications
13.7K
Citations
703
Authors
299
Institutions
Publications per year
2017–2026
135
Parents
252
Diversity in recommender systems – A survey
Matevž Kunaver, Tomaž Požrl · Knowledge-Based Systems · 2017 · 489 citations
Mi Zhang, Neil Hurley · 2008 · 454 citations
1–5 of 252
703
5
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University of Electronic Science and Technology of China, China
5 publications · 1.4K citations
5
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5
h-index
5
h-index
4
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1–5 of 703
299
University of Fribourg
Fribourg, Switzerland
10 h-index
26 publications
7.4K citations

University of Electronic Science and Technology of China
Chengdu, China
8 h-index
19 publications
2.1K citations

University of Minnesota
Minneapolis, United States
7 h-index
11 publications
1.7K citations
University of Science and Technology of China
Hefei, China
7 h-index
16 publications
3.4K citations
University College Dublin
Dublin, Ireland
7 h-index
12 publications
1.2K citations

Universidad Autónoma de Madrid
Madrid, Spain
6 h-index
9 publications
674 citations
Nanyang Technological University
Singapore, Singapore
6 h-index
13 publications
438 citations

University of Shanghai for Science and Technology
Shanghai, China
6 h-index
13 publications
3.8K citations
1–8 of 299
9 publications · 790 citations
9
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Repository · 8 publications · 256 citations
8
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4 publications · 107 citations
4
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3 publications · 153 citations
3
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3 publications · 101 citations
3
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1–5