Relevance Diversity
Relevance Diversity is a recommendation system evaluation criterion that balances the inclusion of items satisfying diverse user needs or subtopics within a query’s relevant results, distinguishing itself from pure relevance ranking by explicitly promoting coverage of distinct, pertinent aspects of the information need.
19
Publications
1.9K
Citations
58
Authors
24
Institutions
Publications per year
2017–2026
5
Parents
19
Learning diverse rankings with multi-armed bandits
Filip Radlinski, Robert Kleinberg, Thorsten Joachims · 2008 · 518 citations
Multi-dimensional search result diversification
Zhicheng Dou, Sha Hu, Kun Chen et al. · 2011 · 83 citations
1–5 of 19
58
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h-index
2
h-index
2
h-index
2
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2
h-index
1–5 of 58
24
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
4 publications
104 citations

Drexel University
Philadelphia, United States
1 h-index
1 publications
14 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
1 h-index
1 publications
13 citations
Max Planck Institute for Software Systems
Saarbrücken, Germany
1 h-index
2 publications
44 citations

Shenzhen University
Shenzhen, China
1 h-index
1 publications
13 citations

Peking University
Beijing, China
1 h-index
3 publications
39 citations

Cornell University
Ithaca, United States
1 h-index
3 publications
1.6K citations
National University of Singapore
Singapore, Singapore
1 h-index
1 publications
24 citations
1–8 of 24
Repository · 2 publications · 144 citations
2
h-index
1 publications · 22 citations
1
h-index
Repository · 1 publications · 121 citations
1
h-index
1 publications · 12 citations
1
h-index
Conference · 1 publications · 13 citations
1
h-index
1–5