Engagement Forecasting
Engagement Forecasting is a predictive analytics method that estimates future levels of user interaction within a digital environment by modeling historical engagement patterns to anticipate subsequent behavioral activity.
25
Publications
871
Citations
103
Authors
41
Institutions
Publications per year
2017–2026
21
Parents
25
A new ML-based approach to enhance student engagement in online environment
Sarra Ayouni, Fahima Hajjej, Mohamed Maddeh et al. · PLoS ONE · 2021 · 59 citations · Full text
Characterizing and Forecasting User Engagement with In-App Action Graph
Yozen Liu, Xiaolin Shi, Lucas Pierce et al. · 2019 · 57 citations
1–5 of 25
103
2
h-index
Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany
2 publications · 163 citations
2
h-index
Fraunhofer Institute for Intelligent Analysis and Information Systems, Germany
2 publications · 163 citations
2
h-index
2
h-index
2
h-index
1–5 of 103
41

Australian National University
Canberra, Australia
3 h-index
6 publications
378 citations
Snap (United States)
Los Angeles, United States
2 h-index
5 publications
210 citations
Aalborg University
Aalborg, Denmark
2 h-index
2 publications
163 citations
University of Bonn
Bonn, Germany
2 h-index
4 publications
367 citations
Fraunhofer Institute for Intelligent Analysis and Information Systems
Sankt Augustin, Germany
2 h-index
4 publications
326 citations
EP Analytics (United States)
San Diego, United States
1 h-index
4 publications
80 citations
University of Maryland, College Park
College Park, United States
1 h-index
4 publications
40 citations
University of Southern California
Los Angeles, United States
1 h-index
2 publications
114 citations
1–8 of 41
Repository · 1 publications · 28 citations
1
h-index
Repository · 1 publications · 46 citations
1
h-index
1 publications · 80 citations
1
h-index
1 publications · 41 citations
1
h-index
1 publications · 20 citations
1
h-index
1–5