Book chapter
Early Prediction of Movie Success — What, Who, and When
Social Computing, Behavioral-Cultural Modeling, and Prediction, pp.345-349
Lecture Notes in Computer Science, Springer International Publishing
03/17/2015
DOI: 10.1007/978-3-319-16268-3_41
Abstract
Leveraging historical data from the movie industry, this study built a predictive model for movie success, deviating from past studies by predicting profit (as opposed to revenue) at early stages of production (as opposed to just prior to release) to increase investor certainty. Our work derived several groups of novel features for each movie, based on the cast and collaboration network (who’), content (‘what’), and time of release (‘when’).
Details
- Title: Subtitle
- Early Prediction of Movie Success — What, Who, and When
- Creators
- Michael Lash - University of IowaSunyang Fu - University of IowaShiyao Wang - University of IowaKang Zhao - University of Iowa
- Resource Type
- Book chapter
- Publication Details
- Social Computing, Behavioral-Cultural Modeling, and Prediction, pp.345-349
- Publisher
- Springer International Publishing; Cham
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-319-16268-3_41
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 03/17/2015
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380441402771
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