Interaction Sequence Analysis is a methodological framework within user behavior analysis that systematically examines the temporal and structural patterns of user interactions with digital systems to identify meaningful sequences indicative of specific behavioral intents or cognitive processes.
84
Publications
8.2K
Citations
290
Authors
115
Institutions
Publications per year
2017–2026
19
Parents
Publications
84
Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks
Jin Huang, Wayne Xin Zhao, Hongjian Dou et al. · 2018 · 477 citations
1–5 of 84
Authors
290
- RB
3
h-index
- PS
2
h-index
- CF
2
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- GS
2
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- JH
2
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1–5 of 290
Institutions
115
Georgia State University
Atlanta, United States
3 h-index
6 publications
2.4K citations
University of Michigan
Ann Arbor, United States
2 h-index
3 publications
195 citations
Institut Pasteur
Paris, France
2 h-index
3 publications
72 citations
University of Washington
Seattle, United States
2 h-index
5 publications
2.5K citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
6 publications
96 citations
Pennsylvania State University
State College, United States
2 h-index
3 publications
56 citations
Case Western Reserve University
Cleveland, United States
2 h-index
4 publications
446 citations
University of Liverpool
Liverpool, United Kingdom
2 h-index
3 publications
70 citations
1–8 of 115
Venues
- The EMBO Journal
3 publications · 461 citations
3
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- Journal of Biological Chemistry
JBC · 3 publications · 313 citations
3
h-index
- American Psychologist
2 publications · 924 citations
2
h-index
- Nucleic Acids Research
2 publications · 43 citations
2
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- Molecular Biology of the Cell
MBC · 2 publications · 180 citations
2
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1–5