Web Personalization
Web Personalization is a web analytics methodology that dynamically tailors content, layout, and functionality of a website to individual users based on their behavioral, demographic, or contextual data, distinguishing it from static or generalized web content delivery.
1.1K
Publications
67.7K
Citations
2.7K
Authors
812
Institutions
Publications per year
2017–2026
126
1.1K
A contextual-bandit approach to personalized news article recommendation
Lihong Li, Wei Chu, John Langford et al. · 2010 · 2.5K citations · Full text
Scaling personalized web search
Glen Jeh, Jennifer Widom · 2003 · 1.2K citations
1–5 of 1.1K
2.7K
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1–5 of 2.7K
812
Microsoft (United States)
Redmond, United States
22 h-index
60 publications
6.6K citations

DePaul University
Chicago, United States
15 h-index
32 publications
5.9K citations
Yahoo (United States)
Sunnyvale, United States
13 h-index
36 publications
9.5K citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
13 h-index
21 publications
2.5K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
12 h-index
27 publications
6.4K citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
26 publications
4.6K citations

Pennsylvania State University
State College, United States
11 h-index
20 publications
1.8K citations
University of Patras
Pátrai, Greece
10 h-index
31 publications
675 citations
1–8 of 812
15 publications · 1.4K citations
14
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TKDE · 11 publications · 1K citations
11
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Repository · 10 publications · 373 citations
10
h-index
9 publications · 1.4K citations
9
h-index
9 publications · 2.2K citations
9
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1–5