Predictive Personalization
Predictive Personalization is a personalization strategy that employs predictive modeling to anticipate individual user preferences or behaviors based on historical data, distinguishing itself from rule-based or reactive approaches by proactively tailoring experiences through data-driven forecasts.
29
Publications
1.3K
Citations
97
Authors
48
Institutions
Publications per year
2017–2026
10
29
How Jing, Alexander J. Smola · 2017 · 155 citations
Honghao Wei, Fuzheng Zhang, Nicholas Jing Yuan et al. · 2017 · 87 citations
Personalization from incomplete data
Balaji Padmanabhan, Zhiqiang Zheng, Steven O. Kimbrough · 2001 · 66 citations
1–5 of 29
97
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h-index
1
h-index
Hong Kong University of Science and Technology, Hong Kong SAR China
1 publications · 16 citations
1
h-index
1
h-index
1–5 of 97
48
Microsoft Research Asia (China)
Beijing, China
2 h-index
8 publications
638 citations
LinkedIn (United States)
Sunnyvale, United States
2 h-index
3 publications
219 citations
National Cheng Kung University
Tainan City, Taiwan
1 h-index
2 publications
52 citations
University of Maryland, College Park
College Park, United States
1 h-index
2 publications
42 citations
Northwestern University
Evanston, United States
1 h-index
1 publications
43 citations
Institute for Medical BioMathematics
Bené ‘Atarot, Israel
1 h-index
2 publications
46 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
1 h-index
1 publications
29 citations
Purdue University West Lafayette
West Lafayette, United States
1 h-index
2 publications
42 citations
1–8 of 48
Repository · 2 publications · 49 citations
2
h-index
IDPL · 1 publications · 65 citations
1
h-index
1 publications · 23 citations
1
h-index
Conference · 1 publications · 11 citations
1
h-index
1 publications · 26 citations
1
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1–5