Image-based Recommendation
Image-Based Recommendation is a content-based recommendation approach that uniquely utilizes visual features extracted from images as the primary basis for generating personalized recommendations.
92
Publications
6.4K
Citations
340
Authors
145
Institutions
Publications per year
2017–2026
52
Parents
92
Image-Based Recommendations on Styles and Substitutes
Julian McAuley, Christopher Targett, Qinfeng Shi et al. · 2015 · 2.3K citations
Visually-Aware Fashion Recommendation and Design with Generative Image Models
Wang-Cheng Kang, Fang Chen, Zhaowen Wang et al. · 2017 · 269 citations
Computing, Computer Science, Design +14
Suhang Wang, Yilin Wang, Jiliang Tang et al. · 2017 · 234 citations · Full text
Learning Image and User Features for Recommendation in Social Networks
Xue Geng, Hanwang Zhang, Jingwen Bian et al. · 2015 · 229 citations
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145
National University of Singapore
Singapore, Singapore
5 h-index
12 publications
1.3K citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
9 publications
605 citations
Kodak (United States)
Rochester, United States
4 h-index
7 publications
368 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
6 publications
206 citations
University of California San Diego
San Diego, United States
3 h-index
6 publications
2.9K citations
Tsinghua University
Beijing, China
3 h-index
4 publications
94 citations

Sun Yat-sen University
Guangzhou, China
2 h-index
9 publications
133 citations
eBay (United States)
San Jose, United States
2 h-index
2 publications
140 citations
1–8 of 145
Repository · 4 publications · 118 citations
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3 publications · 86 citations
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3 publications · 134 citations
3
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TKDE · 2 publications · 229 citations
2
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TIST · 2 publications · 56 citations
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