Trust-aware Recommendation
Trust-Aware Recommendation is a type of recommendation approach that incorporates user-to-user trust relationships into the prediction model to enhance recommendation accuracy and reliability by leveraging trusted peers' preferences.
759
Publications
45.7K
Citations
2.1K
Authors
793
Institutions
Publications per year
2017–2026
355
Variants
Trust-based Recommendation
Parents
759
Recommender systems with social regularization
Hao Ma, Dengyong Zhou, Chao Liu et al. · 2011 · 1.7K citations
Supporting trust in virtual communities
A Abdul-Rahman, Stephen Hailes · 2005 · 1.3K citations
Trust-aware recommender systems
Paolo Massa, Paolo Avesani · 2007 · 1.2K citations
Computing, Data Science, Data Mining +16
Learning to recommend with social trust ensemble
Hao Ma, Irwin King, Michael R. Lyu · 2009 · 869 citations
1–5 of 759
2.1K
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793
Nanyang Technological University
Singapore, Singapore
19 h-index
54 publications
5.1K citations
University of Technology Sydney
Sydney, Australia
17 h-index
40 publications
2.5K citations

Macquarie University
Sydney, Australia
16 h-index
44 publications
2K citations

Northeastern University
Shenyang, China
14 h-index
27 publications
1.5K citations

American University of Beirut
Beirut, Lebanon
11 h-index
18 publications
2.8K citations
Dalian University of Technology
Dalian, China
11 h-index
29 publications
1.1K citations

Xidian University
Xi'an, China
10 h-index
35 publications
2K citations

Central South University
Changsha, China
10 h-index
20 publications
523 citations
1–8 of 793
31 publications · 1.9K citations
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24 publications · 2K citations
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25 publications · 1.1K citations
20
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19 publications · 556 citations
13
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12 publications · 358 citations
12
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1–5