Session-based User Modeling
Session-Based User Modeling is a user modeling paradigm that captures and updates user preferences and behaviors within the temporal bounds of a single interaction session, distinguishing it from persistent, long-term modeling approaches by focusing exclusively on transient, session-limited data.
18
Publications
1.4K
Citations
50
Authors
30
Institutions
Publications per year
2017–2026
2
Parents
18
Personal recommendation using deep recurrent neural networks in NetEase
Sai Wu, Weichao Ren, Chengchao Yu et al. · 2016 · 141 citations
Realistic load testing of Web applications
Dirk Draheim, John Grundy, John Hosking et al. · 2006 · 82 citations · Full text
1–5 of 18
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University of Electronic Science and Technology of China, China
1 publications · 141 citations
1
h-index
1–5 of 50
30
University of California, Berkeley
Berkeley, United States
2 h-index
2 publications
72 citations

Istanbul Technical University
Istanbul, Türkiye
2 h-index
2 publications
189 citations

University of Waterloo
Waterloo, Canada
2 h-index
2 publications
189 citations
NetEase (China)
Beijing, China
1 h-index
1 publications
141 citations
Rakuten (Japan)
Tokyo, Japan
1 h-index
2 publications
136 citations
New Jersey Institute of Technology
Newark, United States
1 h-index
2 publications
20 citations

Brunel University of London
London, United Kingdom
1 h-index
2 publications
216 citations
Hebrew University of Jerusalem
Jerusalem, Israel
1 h-index
1 publications
23 citations
1–8 of 30
JVLC · 1 publications · 11 citations
1
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1 publications · 45 citations
1
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1 publications · 64 citations
1
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1 publications · 108 citations
1
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AAI · 1 publications · 18 citations
1
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1–5