Machine Learning-based Personalization
Machine Learning-Based Personalization is a computational approach to personalization in design that employs machine learning algorithms to dynamically adapt content, interfaces, or experiences to individual users based on their behavioral, contextual, or preference data.
83
Publications
3K
Citations
298
Authors
102
Institutions
Publications per year
2017–2026
60
Parents
83
When large language models meet personalization: perspectives of challenges and opportunities
Zheng Liu, Xu Huang, Chenwang Wu et al. · World Wide Web · 2024 · 285 citations · Full text
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Nataniel Ruiz, Yuanzhen Li, Varun Jampani et al. · 2024 · 106 citations
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102
Carnegie Mellon University
Pittsburgh, United States
3 h-index
3 publications
78 citations
KU Leuven
Leuven, Belgium
2 h-index
3 publications
105 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
3 publications
311 citations

University of Bologna
Bologna, Italy
2 h-index
5 publications
232 citations
Devi Ahilya Vishwavidyalaya
Indore, India
2 h-index
3 publications
97 citations
Chittagong University of Engineering & Technology
Chittagong, Bangladesh
1 h-index
1 publications
16 citations
IT Step University
Lviv, Ukraine
1 h-index
1 publications
34 citations
Finland University
Helsinki, Finland
1 h-index
1 publications
85 citations
1–8 of 102
Repository · 5 publications · 94 citations
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3 publications · 77 citations
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Conference · 2 publications · 68 citations
2
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2 publications · 40 citations
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JTAER · 2 publications · 45 citations
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