Coverage In Recommendation
Coverage in Recommendation is a metric in recommender systems research that belongs to the class of evaluation measures, distinguished by its focus on the proportion of items or users for which the system can generate recommendations, thereby indicating the extent of the recommendation space that the system effectively spans.
22
Publications
934
Citations
73
Authors
44
Institutions
Publications per year
2017–2026
9
Parents
22
Multirelational Social Recommendations via Multigraph Ranking
Mingsong Mao, Jie Lü, Guangquan Zhang et al. · IEEE Transactions on Cybernetics · 2016 · 110 citations · Full text
1–5 of 22
73
1
h-index
1
h-index
1
h-index
1
h-index
1 publications · 14 citations
1
h-index
1–5 of 73
44

Huazhong University of Science and Technology
Wuhan, China
2 h-index
6 publications
264 citations

Hebei University of Technology
Tianjin, China
1 h-index
4 publications
360 citations

University of Piraeus
Piraeus, Greece
1 h-index
1 publications
12 citations
Universität Hamburg
Hamburg, Germany
1 h-index
2 publications
98 citations

University of Electronic Science and Technology of China
Chengdu, China
1 h-index
3 publications
42 citations

Muroran Institute of Technology
Muroran, Japan
1 h-index
2 publications
82 citations
University College Dublin
Dublin, Ireland
1 h-index
2 publications
40 citations
Jiangxi University of Finance and Economics
Nanchang, China
1 h-index
1 publications
110 citations
1–8 of 44
Conference · 2 publications · 30 citations
2
h-index
1 publications · 14 citations
1
h-index
CIM · 1 publications · 137 citations
1
h-index
1 publications · 138 citations
1
h-index
1 publications · 110 citations
1
h-index
1–5