Concepedia

Engagement Prediction

Engagement prediction is a research area and methodological approach focused on developing models and techniques to forecast the likelihood, intensity, and nature of future interactions or involvement of individuals or groups with specific content, platforms, systems, or activities. This field investigates the underlying factors influencing user or participant behavior, aiming to anticipate engagement patterns for purposes such as system optimization, personalized experiences, or behavioral analysis in diverse domains like education, marketing, and human-computer interaction.

35

Publications

1.4K

Citations

158

Authors

50

Institutions

Publications per year

2017–2026

31

Authors

158

Leading researchers in Engagement Prediction. Counts cover only their work on this concept, not their overall record.

PublicationsCitationsH-Index
SD

University of Colorado Colorado Springs

2

29

2

CS

Oldham Council

1

31

1

AE

Software (Spain)

1

31

1

MD

1

31

1

JA

University of Minnesota

1

39

1

Rows per page

1–5 of 158

Institutions

50

Leading universities and research organizations in Engagement Prediction. Counts cover only their work on this concept, not their overall record.

PublicationsCitationsH-Index
University of Colorado System

Boulder, United States

3

45

2

University of Minnesota

Minneapolis, United States

2

78

1

1

17

1

1

17

1

3

42

1

Rows per page

1–5 of 50

Venues

Leading journals and conferences in Engagement Prediction. Counts cover only their publications on this concept, not their overall record.