Personalization Evaluation Metrics is a scholarly construct that belongs to the category of evaluation methodologies and is specifically differentiated by its focus on quantifying the effectiveness, accuracy, relevance, and user satisfaction of personalized content delivery in web-based systems.
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Publications
3.1K
Citations
135
Authors
74
Institutions
Publications per year
2017–2026
13
Parents
Publications
37
Measuring personalization of web search
Anikó Hannák, Piotr Sapieżyński, Arash Molavi Kakhki et al. · 2013 · 394 citations
Personalized social search based on the user's social network
David Carmel, Naama Zwerdling, Ido Guy et al. · 2009 · 240 citations
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Authors
135
- IS
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1–5 of 135
Institutions
74
Free University of Bozen-Bolzano
Bolzano, Italy
2 h-index
3 publications
126 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
2 publications
31 citations
University of California, Berkeley
Berkeley, United States
1 h-index
2 publications
86 citations
Department of Commerce
Canberra, Australia
1 h-index
1 publications
569 citations
Twitter (United States)
San Francisco, United States
1 h-index
1 publications
43 citations
University of Jyväskylä
Jyväskylä, Finland
1 h-index
2 publications
162 citations
Lviv Polytechnic National University
Lviv, Ukraine
1 h-index
3 publications
102 citations
Universitas Budi Luhur
Jakarta, Indonesia
1 h-index
1 publications
21 citations
1–8 of 74
Venues
- Information Processing & Management
3 publications · 133 citations
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- Expert Systems with Applications
2 publications · 153 citations
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- International Journal of Information Engineering and Electronic Business
1 publications · 14 citations
1
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- Telematics and Informatics
1 publications · 81 citations
1
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- The International Journal of Advanced Manufacturing Technology
1 publications · 20 citations
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