Behavioral Retention Modeling
Behavioral Retention Modeling is a computational framework that distinguishes itself by predicting user retention in digital platforms through the analysis of sequential behavioral patterns, as opposed to relying solely on demographic or static usage attributes.
18
Publications
722
Citations
57
Authors
36
Institutions
Publications per year
2017–2026
5
Parents
18
Predicting player churn in the wild
Fabian Hadiji, Rafet Sifa, Anders Drachen et al. · 2014 · 154 citations
Modeling Player Retention in Madden NFL 11
Ben Weber, Michael John, Michael Mateas et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2011 · 62 citations · Full text
Computing, Data Science, Data Mining +14
1–5 of 18
57
Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany
2 publications · 206 citations
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2
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2
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2
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1
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1–5 of 57
36
Fraunhofer Institute for Intelligent Analysis and Information Systems
Sankt Augustin, Germany
2 h-index
4 publications
514 citations

National Taiwan University
Taipei, Taiwan
2 h-index
4 publications
72 citations
Institute of Information Science, Academia Sinica
Taipei, Taiwan
2 h-index
2 publications
36 citations
Aalborg University
Aalborg, Denmark
2 h-index
2 publications
206 citations
Electronic Arts (United States)
Redwood City, United States
1 h-index
1 publications
62 citations
Florida International University
Miami, United States
1 h-index
1 publications
12 citations

Hohai University
Nanjing, China
1 h-index
1 publications
20 citations
Friedrich-Alexander-Universität Erlangen-Nürnberg
Erlangen, Germany
1 h-index
2 publications
92 citations
1–8 of 36
1 publications · 12 citations
1
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CSR · 1 publications · 33 citations
1
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1 publications · 44 citations
1
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SSCR · 1 publications · 46 citations
1
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Conference · 1 publications · 20 citations
1
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1–5