Personalized Session Recommendation
Personalized Session Recommendation is a session-based recommendation approach that uniquely incorporates user-specific historical behavior patterns to tailor item suggestions within a dynamically modeled short-term session context.
64
Publications
2.2K
Citations
230
Authors
97
Institutions
Publications per year
2017–2026
60
Parents
64
A collaborative filtering approach for recommending OLAP sessions
Julien Aligon, Enrico Gallinucci, Matteo Golfarelli et al. · Decision Support Systems · 2014 · 66 citations
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Huazhong University of Science and Technology
Wuhan, China
4 h-index
10 publications
214 citations

Taiyuan University of Technology
Taiyuan, China
3 h-index
6 publications
215 citations

Beijing Institute of Technology
Beijing, China
3 h-index
11 publications
194 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
6 publications
481 citations
Institute of Computing Technology
Beijing, China
3 h-index
4 publications
91 citations
TU Dortmund University
Dortmund, Germany
3 h-index
7 publications
918 citations
Wuhan University
Wuhan, China
3 h-index
3 publications
130 citations

Macquarie University
Sydney, Australia
3 h-index
8 publications
227 citations
1–8 of 97
10 publications · 261 citations
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10 publications · 265 citations
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6 publications · 155 citations
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4 publications · 120 citations
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3 publications · 59 citations
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